subject:(Smart healthcare)

1. Florez Atehortua, L. (author). A start-up process for the design of a multi-sided digital platform for social innovation.

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:8a6bb29d-1246-4192-abe2-cf27f0806d35

► A social innovation is a novel solution to a social problem that is more effective, efficient, sustainable for which the value created accrues primarily to… (more)

▼ A social innovation is a novel solution to a social problem that is more effective, efficient, sustainable for which the value created accrues primarily to society as a whole rather than private individuals. Social innovations come in various forms such as (1) doing something good in/for society; (2) changing social practices and/or structure, (3) contribute to urban and community development and (4) re-organize work processes. In an aging world where life expectancy is steadily increasing and there is decline in the number of children and in total fertility the consequences for the healthcare system and the elder population are significant; therefore, social innovations are needed (in the form of changed social practices) aiming to reduce healthcare costs and improve the life quality of those aging. Smart Homes / Smart Living serve goals of wellbeing of the residents of the home and eldercare among others. Thus, the realization of these goals could be considered as a potential social innovation for eldercare in specific. However, these products and services in this domain are generally unknown by the general public – so potential consumers lack of awareness of the potential benefits that smart home products can help them realize. Thus, a social innovation is proposed in the context of health and wellbeing through the design of a smart living multi-sided digital platform. This platform is a mean to improve the lives of citizens in the context of health and wellbeing, especially for those aging through information access, information exchange around Smart Living products/services, interaction with the relatives/community/neighborhood as well as with caretakers. The focus of a solution in this work is on the group of end-users of elders and voluntary caretakers. From previous research foundational requirements were identified for the platform: 1) an online community for contact, solutions, social wellbeing, interaction with the neighborhood and a digital marketplace for applications; 2) an information exchange platform, between providers and end-users (business to consumer), 3) a portal for bundled, services and solutions (business to consumer) and 4) an intervention instrument for the municipality (government to consumer). Through two workshops and considerable work within the project team 9 requirements and 3 critical issues were identified. The requirements derived were built into a prototype (mockup) which was also built into a clickable model for its evaluation through usability testing with potential end-users. 100% of the participants agreed that they would use or recommend the platform if available and 4 out of 6 participants rated 4 or 5 in a scale of 1 to 5 the user experience of the artifact. Some issues regarding the navigation in two functionalities were pointed for improvement. There was learning of few important points in this design stage: (1) to collect requirements for the artifact and prioritize the critical design issues is key. (2) involve the end-user in the design process to validate and evaluate…

Subjects/Keywords: smart living; healthcare; wellbeing; action design research

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APA (6^th Edition):

Florez Atehortua, L. (. (2015). A start-up process for the design of a multi-sided digital platform for social innovation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8a6bb29d-1246-4192-abe2-cf27f0806d35

Chicago Manual of Style (16^th Edition):

Florez Atehortua, L (author). “A start-up process for the design of a multi-sided digital platform for social innovation.” 2015. Masters Thesis, Delft University of Technology. Accessed March 03, 2021. http://resolver.tudelft.nl/uuid:8a6bb29d-1246-4192-abe2-cf27f0806d35.

MLA Handbook (7^th Edition):

Florez Atehortua, L (author). “A start-up process for the design of a multi-sided digital platform for social innovation.” 2015. Web. 03 Mar 2021.

Vancouver:

Florez Atehortua L(. A start-up process for the design of a multi-sided digital platform for social innovation. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Mar 03]. Available from: http://resolver.tudelft.nl/uuid:8a6bb29d-1246-4192-abe2-cf27f0806d35.

Council of Science Editors:

Florez Atehortua L(. A start-up process for the design of a multi-sided digital platform for social innovation. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:8a6bb29d-1246-4192-abe2-cf27f0806d35

Coventry University

2. Al-Hemairy, Mohamed Hussein Salih. A holistic health monitoring framework supported by a novel diagnostic algorithm.

Degree: PhD, 2017, Coventry University

URL: https://pureportal.coventry.ac.uk/en/studentthesis/a-holistic-health-monitoring-framework-supported-by-a-novel-diagnostic-algorithm(a1e09c94-ece0-47de-830f-19d4927ba00a).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810171

► In the present era, technology has greatly influenced the field of medicine and healthcare. Recent innovations in wireless transmission and biosensor technology have driven the… (more)

▼ In the present era, technology has greatly influenced the field of medicine and healthcare. Recent innovations in wireless transmission and biosensor technology have driven the concept of potential convergences between healthcare and telecommunications. The emergent use of telemedicine technologies for remote monitoring of patients with chronic disease has enabled clinicians to manage patients remotely and in a pro-active manner with a large number of healthcare organizations and hospitals trying to implement various remote monitoring healthcare applications. Currently there are many applications available for research purposes as well as for commercial use from industry. Many of the industrial or commercial applications, implemented by healthcare organizations, may include wireless sensors, biometric wristwatches, wireless ECG systems, mobile cardiac telemetry systems, blood pressure and glucose meters, etc. Such industrial applications aid the medical doctors in monitoring the daily activities and healthcare status of the patients considerably by utilizing the biosensors and networking technologies. Healthcare solutions and platforms vary by their purpose and features and there are no efficient classifications combining the common or distinct features among these solutions. This thesis aims to improve the state of the art by introducing a comprehensive framework that has covered most of the required features for monitoring patients (remotely) clustered in a modular structure, which makes it flexible and scalable by adding or removing further modules or features without affecting the other modules or interrupting the platform’s core operations. This modular framework employs specific functions for each module to eliminate the redundancy of the tasks or the potential overlap between them and therefore reduces cost, time and effort. Having a framework such as that proposed here will allow researchers and developers to focus more on the knowledge intrinsic to the patient-relevant data being collected and analysed as opposed to technical developments and specific programming details. It also provides a guideline on what are the key features in the most common healthcare solutions and the drawbacks of each category. It also characterizes the existing healthcare monitoring solutions into two major categories, which include research prototypes and industrial applications. These features incorporating non-intrusive, security-enabled, mobile-aware, integration support and context-aware features. Similarly, it is envisioned there is a new concept of collecting medical knowledge from external databases, such as social networks, and utilise such information to support diagnosing decisions through expert systems as well as learning techniques. Overall, this thesis presents a systematic procedure to be used for diagnosing various kinds of diseases through developing an algorithm that incorporates mathematical expressions to determine a variable called an “Indicator” that searches a look-up table of predefined medical conditions…

Subjects/Keywords: eHealth; pervasive healthcare; mobile applications; smart technology

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APA (6^th Edition):

Al-Hemairy, M. H. S. (2017). A holistic health monitoring framework supported by a novel diagnostic algorithm. (Doctoral Dissertation). Coventry University. Retrieved from https://pureportal.coventry.ac.uk/en/studentthesis/a-holistic-health-monitoring-framework-supported-by-a-novel-diagnostic-algorithm(a1e09c94-ece0-47de-830f-19d4927ba00a).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810171

Chicago Manual of Style (16^th Edition):

Al-Hemairy, Mohamed Hussein Salih. “A holistic health monitoring framework supported by a novel diagnostic algorithm.” 2017. Doctoral Dissertation, Coventry University. Accessed March 03, 2021. https://pureportal.coventry.ac.uk/en/studentthesis/a-holistic-health-monitoring-framework-supported-by-a-novel-diagnostic-algorithm(a1e09c94-ece0-47de-830f-19d4927ba00a).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810171.

MLA Handbook (7^th Edition):

Al-Hemairy, Mohamed Hussein Salih. “A holistic health monitoring framework supported by a novel diagnostic algorithm.” 2017. Web. 03 Mar 2021.

Vancouver:

Al-Hemairy MHS. A holistic health monitoring framework supported by a novel diagnostic algorithm. [Internet] [Doctoral dissertation]. Coventry University; 2017. [cited 2021 Mar 03]. Available from: https://pureportal.coventry.ac.uk/en/studentthesis/a-holistic-health-monitoring-framework-supported-by-a-novel-diagnostic-algorithm(a1e09c94-ece0-47de-830f-19d4927ba00a).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810171.

Council of Science Editors:

Al-Hemairy MHS. A holistic health monitoring framework supported by a novel diagnostic algorithm. [Doctoral Dissertation]. Coventry University; 2017. Available from: https://pureportal.coventry.ac.uk/en/studentthesis/a-holistic-health-monitoring-framework-supported-by-a-novel-diagnostic-algorithm(a1e09c94-ece0-47de-830f-19d4927ba00a).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.810171

Vanderbilt University

3. Zhang, Peng. Architectures and Patterns for Moving Towards the Use of High-Frequency, Low-Fidelity Data in Healthcare.

Degree: PhD, Computer Science, 2018, Vanderbilt University

URL: http://hdl.handle.net/1803/14168

► The U.S. healthcare data has undergone significant transformations as computerized technologies have evolved in recent decades. Data trends in healthcare have transitioned from less frequent,… (more)

▼ The U.S. healthcare data has undergone significant transformations as computerized technologies have evolved in recent decades. Data trends in healthcare have transitioned from less frequent, higher-fidelity provider-documented electronic health records (EHR) to more frequent, lower-fidelity patient and device-generated data. In particular, prevalent Internet of Things (IoT) devices and apps collect enormous amounts of information associated with individuals’ health statuses, physical activities, and environmental triggers to chronic conditions. As a result, health-related data generated from IoT devices today is now exceeding EHR data in terms of volume and frequency. It is important, however, to integrate these data into healthcare decisions since they reflect various aspects of citizens’ lifestyles and well-being in a comprehensive and continuous manner. Given these trends, a key problem facing heathcare researchers and practitioners is how to successfully migrate towards the use of the high-frequency, low-fidelity (HFQ) data in the healthcare domain. Addressing this problem requires research that focuses on the following issues: (1) how to scalably extract insights from large volumes of health data, (2) how to integrate and share HFQ data along with learned insights from those data, and (3) after an integrated health system is created, what methods and techniques are needed to evolve it to adopt more efficient technology or perform upgrades and updates as needed. This dissertation presents software architectures and patterns targeting these issues. First, we propose a machine learning based filtering architecture for drawing insights from HFQ data at scale. Second, we describe a data sharing framework based on distributed ledger technologies (DLT) to address technical requirements defined by the Office of the National Coordinator for Health IT (ONC). Lastly, we document a design pattern sequence for effectively designing and maintaining a DLT-enabled healthcare data sharing system in a secure and evolvable manner. Advisors/Committee Members: Aniruddha Gokhale (committee member), Shelagh A. Mulvaney (committee member), Ted Bapty (committee member), Douglas C. Schmidt (committee member), Jules White (Committee Chair).

Subjects/Keywords: Data Sharing; Healthcare Interoperability; Healthcare Architecture; Informatics; Machine Learning; Design Patterns; Smart Contracts; Blockchain

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhang, P. (2018). Architectures and Patterns for Moving Towards the Use of High-Frequency, Low-Fidelity Data in Healthcare. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14168

Chicago Manual of Style (16^th Edition):

Zhang, Peng. “Architectures and Patterns for Moving Towards the Use of High-Frequency, Low-Fidelity Data in Healthcare.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed March 03, 2021. http://hdl.handle.net/1803/14168.

MLA Handbook (7^th Edition):

Zhang, Peng. “Architectures and Patterns for Moving Towards the Use of High-Frequency, Low-Fidelity Data in Healthcare.” 2018. Web. 03 Mar 2021.

Vancouver:

Zhang P. Architectures and Patterns for Moving Towards the Use of High-Frequency, Low-Fidelity Data in Healthcare. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1803/14168.

Council of Science Editors:

Zhang P. Architectures and Patterns for Moving Towards the Use of High-Frequency, Low-Fidelity Data in Healthcare. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/14168

NSYSU

4. Yu, Ching-Chu. The Experience of Taiwan's Local Government Telecare Service.

Degree: Master, Public Affairs Management, 2018, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728118-111204

► The adoption of innovative healthcare technologies has increased in the decade. Taiwanâs telecare service experience is well-known in the world and has been the example… (more)

Subjects/Keywords: Health Cities; Urban Governance; Smart Healthcare; Telecare Service

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APA (6^th Edition):

Yu, C. (2018). The Experience of Taiwan's Local Government Telecare Service. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728118-111204

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yu, Ching-Chu. “The Experience of Taiwan's Local Government Telecare Service.” 2018. Thesis, NSYSU. Accessed March 03, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728118-111204.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yu, Ching-Chu. “The Experience of Taiwan's Local Government Telecare Service.” 2018. Web. 03 Mar 2021.

Vancouver:

Yu C. The Experience of Taiwan's Local Government Telecare Service. [Internet] [Thesis]. NSYSU; 2018. [cited 2021 Mar 03]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728118-111204.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu C. The Experience of Taiwan's Local Government Telecare Service. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728118-111204

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Université de Lorraine

5. Belkacem, Ilyasse. Étude de nouvelles techniques d’interaction en situation de mobilité avec des lunettes électroniques pour le domaine de la santé : Study of new interaction techniques in mobility context with smart glasses for healthcare.

Degree: Docteur es, Informatique, 2019, Université de Lorraine

URL: http://www.theses.fr/2019LORR0111

►

Les dispositifs mobiles tels que les smartphones, les montres connectées ou les lunettes électroniques ont révolutionné la façon dont nous interagissons. Les lunettes électroniques nous… (more)

▼

Les dispositifs mobiles tels que les smartphones, les montres connectées ou les lunettes électroniques ont révolutionné la façon dont nous interagissons. Les lunettes électroniques nous intéressent, car elles fournissent aux utilisateurs une vision simultanée des mondes physique et numérique. Cependant, l’interaction sur les lunettes électroniques n’est pas bien explorée. L’amélioration de l’interaction sur ce dispositif peut convaincre les utilisateurs à l’utiliser plus dans la vie quotidienne. Le sujet de thèse est focalisé sur l’étude et le développement de nouvelles techniques d'interaction avec les lunettes électroniques. En effet, il n'est pas possible d'interagir aussi finement en mobilité ou en situation d'urgence par rapport à une situation stable telle qu’assis devant un bureau. Notre contexte de travail se situe dans le domaine de la santé et en particulier celui du personnel médical visitant un patient dans un hôpital. Le personnel médical doit pouvoir accéder aux données du patient déjà collectées, obtenir des données physiologiques en temps réel, préparer son diagnostic et communiquer avec ses collègues. Le verrou scientifique pour la thèse ici est de trouver des solutions qui permettent au personnel médical de réaliser ces tâches de façon plus précise et moins contraignante. Le but est de rendre plus efficace le diagnostic et le partage d’informations et de faire d'un dispositif encore non maîtrisé un outil fonctionnel en milieu professionnel de la santé. Dans cette optique, les travaux de cette thèse présentent des contributions théoriques et applicatives. Nous avons tout d’abord répertorié les différents travaux effectués dans le cadre des lunettes électroniques pour le domaine de la santé, tout en indiquant le potentiel, les résultats pertinents et les limites. Nous nous sommes focalisés sur les lunettes électroniques pour afficher et manipuler les dossiers patients. D’un point de vue conceptuel, nous avons proposé un espace de conception à huit dimensions pour identifier les lacunes dans les systèmes existants et aider à la conception de nouveaux systèmes. D’un point de vue applicatif, en interaction en sortie, nous avons introduit une technique appelée K-Fisheye sur une interface à tuiles qui permet de parcourir un grand ensemble de données comme celui présent dans le dossier patient. Nous avons utilisé ensuite l’espace de conception pour porter un système existant sur les lunettes électroniques. Le prototype obtenu s’appelle mCAREglass. En interaction en entrée, nous avons exploré quatre techniques de pointage sur les lunettes électroniques avec la norme ISO 9241-411 pour sélectionner les techniques qui ne sont pas contraignantes pour naviguer dans le dossier patient. Ensuite, nous avons conçu une nouvelle technique d’entrée de texte appelé TEXTile qui permet de saisir du texte sur un tissu interactif communiquant avec les lunettes.

Mobile devices such as smartphones, smartwatches or smart glasses have revolutionized how we interact. We are interested in smart glasses because they have the…

Advisors/Committee Members: Martin, Benoît (thesis director), Pecci, Isabelle (thesis director).

Subjects/Keywords: Lunettes électroniques; Santé; Contexte; Mobilité; Smart glasses; Healthcare; Context; Mobility; 006.8

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Belkacem, I. (2019). Étude de nouvelles techniques d’interaction en situation de mobilité avec des lunettes électroniques pour le domaine de la santé : Study of new interaction techniques in mobility context with smart glasses for healthcare. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2019LORR0111

Chicago Manual of Style (16^th Edition):

Belkacem, Ilyasse. “Étude de nouvelles techniques d’interaction en situation de mobilité avec des lunettes électroniques pour le domaine de la santé : Study of new interaction techniques in mobility context with smart glasses for healthcare.” 2019. Doctoral Dissertation, Université de Lorraine. Accessed March 03, 2021. http://www.theses.fr/2019LORR0111.

MLA Handbook (7^th Edition):

Belkacem, Ilyasse. “Étude de nouvelles techniques d’interaction en situation de mobilité avec des lunettes électroniques pour le domaine de la santé : Study of new interaction techniques in mobility context with smart glasses for healthcare.” 2019. Web. 03 Mar 2021.

Vancouver:

Belkacem I. Étude de nouvelles techniques d’interaction en situation de mobilité avec des lunettes électroniques pour le domaine de la santé : Study of new interaction techniques in mobility context with smart glasses for healthcare. [Internet] [Doctoral dissertation]. Université de Lorraine; 2019. [cited 2021 Mar 03]. Available from: http://www.theses.fr/2019LORR0111.

Council of Science Editors:

Belkacem I. Étude de nouvelles techniques d’interaction en situation de mobilité avec des lunettes électroniques pour le domaine de la santé : Study of new interaction techniques in mobility context with smart glasses for healthcare. [Doctoral Dissertation]. Université de Lorraine; 2019. Available from: http://www.theses.fr/2019LORR0111

6. Z.H. Janjua. SENSOR-BASED BEHAVIORAL MONITORING FOR EARLY DETECTION OF COGNITIVE DECLINE.

Degree: 2016, Università degli Studi di Milano

URL: http://hdl.handle.net/2434/391782

► The advancement in medical science has increased life expectancy in developed countries, which results in a rise in the elderly population. Consequently, age related health… (more)

▼ The advancement in medical science has increased life expectancy in developed countries, which results in a rise in the elderly population. Consequently, age related health issues are also increasing and aging societies are continuously searching for new technologies to provide better healthcare services to the elderly population. One of the prominent health issues relates to the elderly population is cognitive impairment. The decline in cognitive health does not only affect day to day matters of the individual, but also creates difficulties for clinicians and caregivers in terms of providing necessary support to individuals suffering from cognitive disorder. Therefore, an early detection of cognitive impairment is very important, so that clinicians, caregivers, and individuals can take necessary measures to support a cognitively impaired person. In medical literature, the term Mild Cognitive Impairment (MCI) is recognized as a transitional phase between normal aging and dementia. Several studies show that in early stages of the disorder, signs are quite subtle. Hence, it is difficult to capture subtle signs through episodic medical workups. Studies in this domain also conclude that the deteriorated cognitive health significantly affects the ability of an elderly person to correctly perform routine life activities. Therefore, a continuous monitoring of the daily routine of the elderly can be helpful for clinicians to diagnose the early onset of MCI. Thanks to the recent advancement in the pervasive technology, which allows us to develop such systems which can continuously monitor daily routine of the elderly through a smart space. This thesis focuses on the detection of fine-grained anomalies found in the daily behavior of the subject; an elderly person who lives independently in a smart home. We particularly focused on those anomalies which reflect early onset of MCI. In order to model abnormal behavior, we have collaborated with neuro-science experts and clinicians. The medical model provides natural language descriptions of fine-grained anomalies. We proposed FABER, a novel technique for Fine Grained Abnormal BEhavior Recognition (FABER). FABER is a modular architecture and relies on artificial intelligence techniques for the recognition of abnormal behavior. FABER is developed with the objective to support clinicians for a proper diagnosis of MCI. In FABER, we have exploited a combination of statistical, symbolic, and hybrid techniques to infer fine-grained anomalies. Complex human activities are characterized by wide variability; a person can adopt several different patterns of simple actions to perform an activity. Simple actions are detected by various multi-modal sensors deployed in a smart space. For the sake of privacy, we do not consider audio and visual sensors. The data stream from multimodal sensors contain several activities performed by a smart home resident. FABER recognizes boundaries of activities i.e., the start and end time instants of an activity. We have considered various… Advisors/Committee Members: supervisor: C. Bettini, co-supervisor: D. Riboni, BETTINI, CLAUDIO, BETTINI, CLAUDIO, RIBONI, DANIELE.

Subjects/Keywords: MCI; healthcare; pervasive computing; smart home; Settore INF/01 - Informatica

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APA (6^th Edition):

Janjua, Z. (2016). SENSOR-BASED BEHAVIORAL MONITORING FOR EARLY DETECTION OF COGNITIVE DECLINE. (Thesis). Università degli Studi di Milano. Retrieved from http://hdl.handle.net/2434/391782

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Janjua, Z.H.. “SENSOR-BASED BEHAVIORAL MONITORING FOR EARLY DETECTION OF COGNITIVE DECLINE.” 2016. Thesis, Università degli Studi di Milano. Accessed March 03, 2021. http://hdl.handle.net/2434/391782.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Janjua, Z.H.. “SENSOR-BASED BEHAVIORAL MONITORING FOR EARLY DETECTION OF COGNITIVE DECLINE.” 2016. Web. 03 Mar 2021.

Vancouver:

Janjua Z. SENSOR-BASED BEHAVIORAL MONITORING FOR EARLY DETECTION OF COGNITIVE DECLINE. [Internet] [Thesis]. Università degli Studi di Milano; 2016. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/2434/391782.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Janjua Z. SENSOR-BASED BEHAVIORAL MONITORING FOR EARLY DETECTION OF COGNITIVE DECLINE. [Thesis]. Università degli Studi di Milano; 2016. Available from: http://hdl.handle.net/2434/391782

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Princeton University

7. Yin, Hongxu. Smart Healthcare via Efficient Machine Learning .

Degree: PhD, 2020, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp01g158bm213

► U.S. healthcare spending reached 3 trillion dollars in 2014 and is expected to rise to 5.4 trillion dollars by 2024. Despite this heavy expenditure, preventable… (more)

▼ U.S. healthcare spending reached 3 trillion dollars in 2014 and is expected to rise to 5.4 trillion dollars by 2024. Despite this heavy expenditure, preventable medical errors account for around 100,000 deaths/year in U.S. hospitals, only behind heart disease and cancer. Though clinical healthcare has significantly improved general welfare, it remains limited to hospitals/clinics. This will change with the advent of wearable medical sensors (WMSs), which make around-the-clock health monitoring feasible. WMSs collect physiological signals from the body. They can both bend the healthcare costs downwards and reduce medical errors significantly. In this thesis, we take a significant step towards smart healthcare by leveraging the strengths of WMSs and efficient machine learning. We first propose a novel healthcare framework called the Health Decision Support System (HDSS) that enables disease diagnosis in both in- and out-of-clinic scenarios through the integration of WMS data with clinical decision support systems (CDSSs). HDSS sequentially structures the information framework for daily health monitoring, initial clinical checkup, detailed clinical examination, and post-diagnostic decision support. We have demonstrated the feasibility of HDSS through diagnosis of six diseases aimed at four ICD-10-CM disease categories for which the datasets are publicly available. Just the WMS tier offers diagnostic accuracies ranging from 78% to 99%. We further evaluate the effectiveness of the WMS based disease diagnosis through DiabDeep – a framework that combines off-the-shelf WMSs and efficient neural networks for pervasive diabetes diagnosis. DiabDeep completely bypasses the computationally-intensive feature extraction stage. It adopts a grow-and-prune paradigm that learns both the architecture and weights of the neural networks for accurate yet efficient inference. Over data collected from 52 participants, DiabDeep yields more than 94% in accuracy when distinguishing among type-1, type-2, and healthy individuals, while reducing the model size (floating-point operations) by up to two orders (one order) of magnitude compared to conventional learning methods. To effectively monitor 69,000 human diseases on the edge, one has to ensure effi- ciency of inference given very limited communication bandwidth, sensor energy/storage, and training data accessibility upon model deployment. To solve these challenges, we further focus on efficient inference from three different perspectives: • Communication efficiency. We first study how smart and conventional sensors can work collaboratively along the IoT hierarchy for efficient inference. We propose a novel hierarchical inference model (HIM) based on hierarchical learning and local inferences. HIM takes advantage of inference already performed on smart sensors, while at the same time accommodating conventional sense- and-transmit sensors in the IoT system. We show that for seven applications, the proposed method helps reduce the amount of transmission by… Advisors/Committee Members: Jha, Niraj K (advisor).

Subjects/Keywords: efficient machine learning; neural networks; smart healthcare; wearable medical sensors

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APA (6^th Edition):

Yin, H. (2020). Smart Healthcare via Efficient Machine Learning . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01g158bm213

Chicago Manual of Style (16^th Edition):

Yin, Hongxu. “Smart Healthcare via Efficient Machine Learning .” 2020. Doctoral Dissertation, Princeton University. Accessed March 03, 2021. http://arks.princeton.edu/ark:/88435/dsp01g158bm213.

MLA Handbook (7^th Edition):

Yin, Hongxu. “Smart Healthcare via Efficient Machine Learning .” 2020. Web. 03 Mar 2021.

Vancouver:

Yin H. Smart Healthcare via Efficient Machine Learning . [Internet] [Doctoral dissertation]. Princeton University; 2020. [cited 2021 Mar 03]. Available from: http://arks.princeton.edu/ark:/88435/dsp01g158bm213.

Council of Science Editors:

Yin H. Smart Healthcare via Efficient Machine Learning . [Doctoral Dissertation]. Princeton University; 2020. Available from: http://arks.princeton.edu/ark:/88435/dsp01g158bm213

Princeton University

8. AKMANDOR, AYTEN OZGE. Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare .

Degree: PhD, 2020, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp01v405sd30n

► Machine learning (ML) algorithms automate the data-label mapping and decision-making processes. The output of the ML algorithms determines the next step in real-world applications. If… (more)

▼ Machine learning (ML) algorithms automate the data-label mapping and decision-making processes. The output of the ML algorithms determines the next step in real-world applications. If the ML output is diagnosis of a disease, e.g., in smart healthcare applications, then the next step is the treatment options. On the other hand, if the ML output is the traffic condition, e.g., in smart city applications, then the next step is traffic regulation. It is desirable to have ML-based systems that are simultaneously accurate, secure, energy-efficient, low-cost, silently operable, maintainable, customizable, low-delay, and scalable. However, there are tradeoffs among these design goals that impact the complexity of the overall system. This thesis focuses on the accuracy, security, and energy-efficiency objectives. We first target the accuracy objective with a new dual-space (feature and semantic space) classification approach: SECRET. While traditional supervised learning approaches operate in the feature space only, SECRET utilizes both feature and semantic spaces in the classification process. It incorporates class affinity and dissimilarity information into the decision process using the semantic space. This property enables SECRET to make informed decisions on class labels, thus enhancing its overall classification performance. By demonstrating the significant benefits of the semantic space, SECRET opens up a new research direction for the machine learning community. Next, we introduce an automatic stress detection and alleviation system: SoDA. SoDA takes advantage of emerging wearable medical sensors to continuously monitor human stress levels and mitigate stress as it arises. It performs stress detection and alleviation in a user-transparent manner. When it detects stress, SoDA employs a stress alleviation technique in an adaptive manner based on the stress response of the user. Furthermore, we present machine learning models that are built with smartphone and wearable medical sensor data and enable the smartphone to understand us. We call this system your smartphone understands you (YSUY). By understanding our physical, mental, and emotional states, YSUY promotes quality of life of the users by assessing their states and shining light on fundamental human-centric needs. Finally, we introduce a simultaneously smart, secure, and energy-efficient Internet-of-Things (IoT) sensor architecture: SSE. In SSE, we use inference in the compressively-sensed domain and transmit data to the base station when an event of interest occurs. Since on-sensor compression and inference drastically reduce the amount of data that need to be transmitted, we are able to reduce the IoT sensor energy by two-to-three orders of magnitude. A small part of this energy bonus is used to carry out encryption and hashing to ensure data confidentiality and integrity. Overall, we achieve smartness through decision-making inferences, security through encryption and hashing, and energy efficiency through both compression… Advisors/Committee Members: Jha, Niraj K (advisor).

Subjects/Keywords: Accuracy; Energy-efficiency; Machine learning; Security; Smart healthcare

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

AKMANDOR, A. O. (2020). Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01v405sd30n

Chicago Manual of Style (16^th Edition):

AKMANDOR, AYTEN OZGE. “Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare .” 2020. Doctoral Dissertation, Princeton University. Accessed March 03, 2021. http://arks.princeton.edu/ark:/88435/dsp01v405sd30n.

MLA Handbook (7^th Edition):

AKMANDOR, AYTEN OZGE. “Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare .” 2020. Web. 03 Mar 2021.

Vancouver:

AKMANDOR AO. Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare . [Internet] [Doctoral dissertation]. Princeton University; 2020. [cited 2021 Mar 03]. Available from: http://arks.princeton.edu/ark:/88435/dsp01v405sd30n.

Council of Science Editors:

AKMANDOR AO. Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare . [Doctoral Dissertation]. Princeton University; 2020. Available from: http://arks.princeton.edu/ark:/88435/dsp01v405sd30n

KTH

9. Roth, Marcel. Analysis of digital health solutions and the most significant challenges for rural areas.

Degree: Electrical Engineering and Computer Science (EECS), 2020, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279430

►

The problem of insufficient healthcare is particularly noticeable in rural regions. Despite this, there is still little research on the digital transformation of healthcare… (more)

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The problem of insufficient healthcare is particularly noticeable in rural regions. Despite this, there is still little research on the digital transformation of healthcare in rural areas. This thesis aims to bridge the gap between the two research fields of "digital health” and “rural development” to find out the most significant challenges for rural areas when implementing and using digital health solutions. "Rural areas" in this work are referring to areas with low population density and small settlements in the industrialised EU countries. First of all, a “Digital Health Ecosystem” was developed based on a research review, which served as an overview of the most important factors and stakeholders regarding digital health in general. The “Digital Health Ecosystem” was used as part of the qualitative research method and interview guide to identify the challenges in transferring the overview to rural areas. An interview study was conducted with eight experts from the field of digital health with different backgrounds like technology, economics, social sciences, healthcare systems and smart village. The results show that digital health in general involves many barriers, which also apply to rural areas. The specific challenges for rural areas could be divided into four main categories: broadband and mobile networks; structural barriers; digital acceptance & competence; rural innovation. The findings reveal that the smart village concept and rural initiatives are still in their early stages and digital strategies and networks will have to spread more widely across the entire countries. Furthermore, services must be better targeted to the specific problems of rural communities. In particular, because the need for digital health solutions is very great in rural areas, where they can counteract problems like lack of healthcare providers and poor healthcare. In this context, all the general and specific challenges should not be considered separately, because the complexity of the ecosystem can only be understood by connecting all the different fields of action.

Problemet med otillräcklig sjukvård märks särskilt på landsbygden. Trots detta finns det fortfarande lite forskning om den digitala omvandlingen av sjukvården på landsbygden. Denna rapport syftar till att överbrygga klyftan mellan de två forskningsområdena "digital health" och "rural development" för att ta reda på de viktigaste utmaningarna för landsbygden när de implementerar och använder digitala hälsolösningar. "Landsbygdsområden" avser i detta arbete områden med låg befolkningstäthet och små bosättningar i de industrialiserade EU-länderna. Till att börja med byggdes ett ramverk, “Digital Health Ecosystem”, baserat på en forskningsöversikt. Detta ramverk fungerade som en översikt över de viktigaste faktorerna och intressenterna beträffande digital hälsa i allmänhet. ”Digital Health Ecosystem” användes som en del av den kvalitativa forskningsmetoden och intervjuguiden för att identifiera utmaningarna i överföringen av översikten…

Subjects/Keywords: Digital health solutions in rural areas; rural development; smart village; rural innovation; smart healthcare; digital health ecosystem; ICT in healthcare.; Media and Communication Technology; Medieteknik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Roth, M. (2020). Analysis of digital health solutions and the most significant challenges for rural areas. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279430

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Roth, Marcel. “Analysis of digital health solutions and the most significant challenges for rural areas.” 2020. Thesis, KTH. Accessed March 03, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279430.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Roth, Marcel. “Analysis of digital health solutions and the most significant challenges for rural areas.” 2020. Web. 03 Mar 2021.

Vancouver:

Roth M. Analysis of digital health solutions and the most significant challenges for rural areas. [Internet] [Thesis]. KTH; 2020. [cited 2021 Mar 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279430.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roth M. Analysis of digital health solutions and the most significant challenges for rural areas. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279430

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

RMIT University

10. Alabdulatif, A. Privacy-preserving data analytics in cloud computing.

Degree: 2018, RMIT University

URL: http://researchbank.rmit.edu.au/view/rmit:162567

► The evolution of digital content and rapid expansion of data sources has raised the need for streamlined monitoring, collection, storage and analysis of massive, heterogeneous… (more)

▼ The evolution of digital content and rapid expansion of data sources has raised the need for streamlined monitoring, collection, storage and analysis of massive, heterogeneous data to extract useful knowledge and support decision-making mechanisms. In this context, cloud computing o&crarr;ers extensive, cost-e&crarr;ective and on demand computing resources that improve the quality of services for users and also help service providers (enterprises, governments and individuals). Service providers can avoid the expense of acquiring and maintaining IT resources while migrating data and remotely managing processes including aggregation, monitoring and analysis in cloud servers. However, privacy and security concerns of cloud computing services, especially in storing sensitive data (e.g. personal, healthcare and financial) are major challenges to the adoption of these services. To overcome such barriers, several privacy-preserving techniques have been developed to protect outsourced data in the cloud. Cryptography is a well-known mechanism that can ensure data confidentiality in the cloud. Traditional cryptography techniques have the ability to protect the data through encryption in cloud servers and data owners can retrieve and decrypt data for their processing purposes. However, in this case, cloud users can use the cloud resources for data storage but they cannot take full advantage of cloud-based processing services. This raises the need to develop advanced cryptosystems that can protect data privacy, both while in storage and in processing in the cloud. Homomorphic Encryption (HE) has gained attention recently because it can preserve the privacy of data while it is stored and processed in the cloud servers and data owners can retrieve and decrypt their processed data to their own secure side. Therefore, HE o&crarr;ers an end-to-end security mechanism that is a preferable feature in cloud-based applications. In this thesis, we developed innovative privacy-preserving cloud-based models based on HE cryptosystems. This allowed us to build secure and advanced analytic models in various fields. We began by designing and implementing a secure analytic cloud-based model based on a lightweight HE cryptosystem. We used a private resident cloud entity, called ”privacy manager”, as an intermediate communication server between data owners and public cloud servers. The privacy manager handles analytical tasks that cannot be accomplished by the lightweight HE cryptosystem. This model is convenient for several application domains that require real-time responses. Data owners delegate their processing tasks to the privacy manager, which then helps to automate analysis tasks without the need to interact with data owners. We then developed a comprehensive, secure analytical model based on a Fully Homomorphic Encryption (FHE), that has more computational capability than the lightweight HE. Although FHE can automate analysis tasks and avoid the use of the privacy manager entity, it also leads to massive…

Subjects/Keywords: Fields of Research; Data analytics; Cloud computing; Homomorphic encryption; Smart grid; Healthcare surveillance

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Alabdulatif, A. (2018). Privacy-preserving data analytics in cloud computing. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162567

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Alabdulatif, A. “Privacy-preserving data analytics in cloud computing.” 2018. Thesis, RMIT University. Accessed March 03, 2021. http://researchbank.rmit.edu.au/view/rmit:162567.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Alabdulatif, A. “Privacy-preserving data analytics in cloud computing.” 2018. Web. 03 Mar 2021.

Vancouver:

Alabdulatif A. Privacy-preserving data analytics in cloud computing. [Internet] [Thesis]. RMIT University; 2018. [cited 2021 Mar 03]. Available from: http://researchbank.rmit.edu.au/view/rmit:162567.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alabdulatif A. Privacy-preserving data analytics in cloud computing. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162567

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Univerzitet u Beogradu

11. Rodić Trmčić, Branka M. Развој модела мобилног здравства заснованог на wearable computing-у.

Degree: Fakultet organizacionih nauka, 2018, Univerzitet u Beogradu

URL: https://fedorabg.bg.ac.rs/fedora/get/o:17947/bdef:Content/get

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Tehničke nauke / informacioni sistemi i tehnologije Technical sciences / information systems and technology

Предмет истраживања дисертације је развој модела мобилног здравства заснованог на wearable… (more)

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Tehničke nauke / informacioni sistemi i tehnologije Technical sciences / information systems and technology

Предмет истраживања дисертације је развој модела мобилног здравства заснованог на wearable computing-у. Централни проблем који се разматра у докторској дисертацији је испитивање могућности примене и интеграције wearable computing-а, Интернета интелигентних уређаја (енг. Internet of Things, IoT), мобилних технологија и сервиса, big data аналитике и рачунарства у облаку за развој сервиса мобилног здравства. Фокус истраживања биће на примени сервиса мобилног здравства у области мерења, праћења и контроле стреса код студената. Увођењем Интернета интелигентних уређаја у мобилно здравство, у области контроле стреса, омогућава се прикупљање података са тела корисника путем сензора. Примена wearable уређаја у процесу контроле стреса лекарима или психолозима треба да омогући добијање информација о психофизичком стању корисника. Применом сервиса електронског здравства измерени подаци се прате, чувају и врши се анализа података. На основу аналитичких резултата могу сe креирати одговарајуће методе за контролу стреса и персонализоване превентивне здравствене поруке намењене корисницима. Предложен је модел мобилног здравства заснован на wearable computing-у који се састоји из система мобилног здравства, wearable система и сервиса за међусобну интеграцију компоненти и интеграцију са електронским здравством. Осим тога, модел обухвата интеграцију мобилног здравства са програмима формалног образовања. У екперименталном делу докторске дисертације предложени модел мобилног здравства заснован на wearable computing-у је имплементиран у образовном окружењу. Систем је евалуиран у реалном окружењу, током одбране завршних радова студената на Факултету организационих наука Универзитета у Београду. Резултати су показали да је коришћење мобилне апликације са садржајима за релаксацију утицало на смањење стреса код студената током одбране завршних радова.

Advisors/Committee Members: Labus, Aleksandra.

Subjects/Keywords: Mobile health; Mobile technologies; Wearable computing; Internet of Things; Cloud computing; Big data; Smart healthcare

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rodić Trmčić, B. M. (2018). Развој модела мобилног здравства заснованог на wearable computing-у. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:17947/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rodić Trmčić, Branka M. “Развој модела мобилног здравства заснованог на wearable computing-у.” 2018. Thesis, Univerzitet u Beogradu. Accessed March 03, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:17947/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rodić Trmčić, Branka M. “Развој модела мобилног здравства заснованог на wearable computing-у.” 2018. Web. 03 Mar 2021.

Vancouver:

Rodić Trmčić BM. Развој модела мобилног здравства заснованог на wearable computing-у. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2021 Mar 03]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17947/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rodić Trmčić BM. Развој модела мобилног здравства заснованог на wearable computing-у. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:17947/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

12. Agahari, W. (author). Can ICT Contribute to Achieve Independent Living?: Exploring Capabilities of the Health and Wellbeing Platform.

Degree: 2016, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:c4bf246e-3932-4d4c-bc2a-8e7a9b7fd708

►

As the world population is getting older, healthcare expenditure in many countries are increased due to the fact that more people become vulnerable to various… (more)

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As the world population is getting older, healthcare expenditure in many countries are increased due to the fact that more people become vulnerable to various health problems. Because of this, elderly people are encouraged to live independently in their own home as long as possible. Promoting independence to elderly people will not be possible without support from society, including voluntary caretakers who took care of elderly people. Hence, it is believed that the health and wellbeing platform as an example of Information and Communication Technologies (ICT) could be beneficial to achieving independent living. Nevertheless, the potential impact of such a platform is relatively unknown since this type of platform is still lacking in the market. In addition, availability of such a platform does not guarantee that elderly people will gain any value from it. Therefore, this research aimed to apply the concept of the capability approach to examine why and how ICT, in particular the health and wellbeing platform, can contribute to achieve independent living of elderly people. To do so, we conducted a case study on a health and wellbeing platform in the Netherlands through secondary data analysis and interviews with potential end-users. Our findings showed that such a platform could contribute in achieveing independent living by enabling certain capabilities (find products & services, find activities, manage daily activities, stay connected with others, monitor conditions, arrange help for others) for either elderly people or voluntary caretakers. Enablements of these capabilities are influenced by variety of conversion factors, namely individual characteristics (age, health condition, technological knowledge), individual perception (perceived ease of use, expected benefits, need for technology, satisfaction level), and social contexts (recommendation from closest people & healthcare stakeholders). Our findings provide insights on how this platform could become an intervention tool to support government policies in encouraging elderly people to live independently at home. Moreover, our study also adds another perspective on how to operationalize the capability approach in the comprehensive view of elderly, ICT, and healthcare.

Technology, Policy and Management

Engineering, Systems and Services

Engineering and Policy Analysis

Advisors/Committee Members: Enserink, B. (mentor), de Reuver, M. (mentor), Kroesen, M. (mentor), Keijzer-Broers, W. (mentor).

Subjects/Keywords: Independent Living; Information and Communication Technology; Capability Approach; Smart Living; Elderly; Healthcare

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APA (6^th Edition):

Agahari, W. (. (2016). Can ICT Contribute to Achieve Independent Living?: Exploring Capabilities of the Health and Wellbeing Platform. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c4bf246e-3932-4d4c-bc2a-8e7a9b7fd708

Chicago Manual of Style (16^th Edition):

Agahari, W (author). “Can ICT Contribute to Achieve Independent Living?: Exploring Capabilities of the Health and Wellbeing Platform.” 2016. Masters Thesis, Delft University of Technology. Accessed March 03, 2021. http://resolver.tudelft.nl/uuid:c4bf246e-3932-4d4c-bc2a-8e7a9b7fd708.

MLA Handbook (7^th Edition):

Agahari, W (author). “Can ICT Contribute to Achieve Independent Living?: Exploring Capabilities of the Health and Wellbeing Platform.” 2016. Web. 03 Mar 2021.

Vancouver:

Agahari W(. Can ICT Contribute to Achieve Independent Living?: Exploring Capabilities of the Health and Wellbeing Platform. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2021 Mar 03]. Available from: http://resolver.tudelft.nl/uuid:c4bf246e-3932-4d4c-bc2a-8e7a9b7fd708.

Council of Science Editors:

Agahari W(. Can ICT Contribute to Achieve Independent Living?: Exploring Capabilities of the Health and Wellbeing Platform. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:c4bf246e-3932-4d4c-bc2a-8e7a9b7fd708

13. Grasso, Davide. Le emergenze sanitarie e gli Smart Hospitals. Apparecchiatura costruttiva di un Pronto Soccorso assemblabile prefabbricato in legno X-LAM.

Degree: 2014, Università degli Studi di Catania

URL: http://hdl.handle.net/10761/1627

► Il presente lavoro di ricerca si colloca nel panorama dell edilizia sanitaria mobile temporanea, che viene impiegata durante le emergenze generate da eventi naturali imprevisti… (more)

Subjects/Keywords: Area 08 - Ingegneria civile e architettura; First aid, healthcare construction, smart hospital

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APA (6^th Edition):

Grasso, D. (2014). Le emergenze sanitarie e gli Smart Hospitals. Apparecchiatura costruttiva di un Pronto Soccorso assemblabile prefabbricato in legno X-LAM. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/1627

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Grasso, Davide. “Le emergenze sanitarie e gli Smart Hospitals. Apparecchiatura costruttiva di un Pronto Soccorso assemblabile prefabbricato in legno X-LAM.” 2014. Thesis, Università degli Studi di Catania. Accessed March 03, 2021. http://hdl.handle.net/10761/1627.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Grasso, Davide. “Le emergenze sanitarie e gli Smart Hospitals. Apparecchiatura costruttiva di un Pronto Soccorso assemblabile prefabbricato in legno X-LAM.” 2014. Web. 03 Mar 2021.

Vancouver:

Grasso D. Le emergenze sanitarie e gli Smart Hospitals. Apparecchiatura costruttiva di un Pronto Soccorso assemblabile prefabbricato in legno X-LAM. [Internet] [Thesis]. Università degli Studi di Catania; 2014. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/10761/1627.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grasso D. Le emergenze sanitarie e gli Smart Hospitals. Apparecchiatura costruttiva di un Pronto Soccorso assemblabile prefabbricato in legno X-LAM. [Thesis]. Università degli Studi di Catania; 2014. Available from: http://hdl.handle.net/10761/1627

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Torres, Carlos. Multimodal Analytics for Healthcare.

Degree: 2018, University of California – eScholarship, University of California

URL: http://www.escholarship.org/uc/item/9s29m7px

► The ailing healthcare system demands effective autonomous solutions to improve service and provide individualize care, while reducing the burden on the scarce healthcare workforce. Most… (more)

▼ The ailing healthcare system demands effective autonomous solutions to improve service and provide individualize care, while reducing the burden on the scarce healthcare workforce. Most of these solutions require a multidisciplinary approach that combines healthcare with computational abilities. The work presented in this thesis introduces a multimodal multiview network along with methods and solutions that leverage inexpensive visual sensors and computers to monitor healthcare. One of the most prominent outcomes of this work includes enabling the medical analysis of ICU conditions such as sleep disorders, decubitus ulcerations, and hospital acquired infections, which are preventable and negatively affect patients' health population. The problems tackled include patient pose classification, pose motion analysis and summarization, role representation and identification, and activity and event logging in natural hospital settings. These problems are addressed via a non-intrusive non-disruptive multimodal multiview sensor network (Medical Internet-of-Things). The multimodal data is combined with coupled-optimization to estimate source weights and accurately classify patient poses. Pose patterns such as pose transitions are represented using deep convolutional features and pose duration is modelled via segments. The proposed techniques serve to differentiate between poses and pseudo-poses (transitory poses) and create effective motion summaries. The role representation is tackled using novel appearance and semantic interaction maps to assign generic labels to individuals (doctor, nurse, visitor, etc) without using identifiable information (e.g., facetracking or badges), which is prohibited in healthcare applications. Finally, activity and event analysis is tackled using a new contextual aspect frames where aspect bases and weights are learned and then used to reconstruct activities. The objective of this thesis is to enable the development, evaluation, and optimization of individualized therapies, standards-of-care, room infrastructural designs, and clinical workflows and procedures.

Subjects/Keywords: Electrical engineering; Health sciences; Computer engineering; Activity Analysis; Camera Network for Healthcare; Healthcare; Medical Internet of Things; Multimodal Sensor Networks; Smart Environments

10 more images…

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APA (6^th Edition):

Torres, C. (2018). Multimodal Analytics for Healthcare. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/9s29m7px

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Torres, Carlos. “Multimodal Analytics for Healthcare.” 2018. Thesis, University of California – eScholarship, University of California. Accessed March 03, 2021. http://www.escholarship.org/uc/item/9s29m7px.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Torres, Carlos. “Multimodal Analytics for Healthcare.” 2018. Web. 03 Mar 2021.

Vancouver:

Torres C. Multimodal Analytics for Healthcare. [Internet] [Thesis]. University of California – eScholarship, University of California; 2018. [cited 2021 Mar 03]. Available from: http://www.escholarship.org/uc/item/9s29m7px.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Torres C. Multimodal Analytics for Healthcare. [Thesis]. University of California – eScholarship, University of California; 2018. Available from: http://www.escholarship.org/uc/item/9s29m7px

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Le, Duy Tan. A Survey on Internet of Things for Smart Health Technologies [課題研究報告書].

Degree: Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学

URL: http://hdl.handle.net/10119/15251

Supervisor:丹　康雄

先端科学技術研究科

修士（情報科学）

Subjects/Keywords: Internet of things; healthcare; technologies; smart health; networks; sensors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Le, D. T. (n.d.). A Survey on Internet of Things for Smart Health Technologies [課題研究報告書]. (Thesis). Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10119/15251

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Le, Duy Tan. “A Survey on Internet of Things for Smart Health Technologies [課題研究報告書].” Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed March 03, 2021. http://hdl.handle.net/10119/15251.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Le, Duy Tan. “A Survey on Internet of Things for Smart Health Technologies [課題研究報告書].” Web. 03 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Le DT. A Survey on Internet of Things for Smart Health Technologies [課題研究報告書]. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; [cited 2021 Mar 03]. Available from: http://hdl.handle.net/10119/15251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Le DT. A Survey on Internet of Things for Smart Health Technologies [課題研究報告書]. [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; Available from: http://hdl.handle.net/10119/15251

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

RMIT University

16. Xie, R. An intelligent healthcare system with peer-to-peer learning and data assessment.

Degree: 2018, RMIT University

URL: http://researchbank.rmit.edu.au/view/rmit:162620

► Modern e-healthcare systems are prevalent in many medical institutions to reduce physicians' workload and enhance diagnostic accuracy, which leverages affordable wearable devices and Machine-Learning (ML)… (more)

Subjects/Keywords: Fields of Research; Collaborative extreme learning machine; Vital bio-signals; Smart healthcare; peer-to-peer learning; data priority

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Xie, R. (2018). An intelligent healthcare system with peer-to-peer learning and data assessment. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162620

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xie, R. “An intelligent healthcare system with peer-to-peer learning and data assessment.” 2018. Thesis, RMIT University. Accessed March 03, 2021. http://researchbank.rmit.edu.au/view/rmit:162620.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xie, R. “An intelligent healthcare system with peer-to-peer learning and data assessment.” 2018. Web. 03 Mar 2021.

Vancouver:

Xie R. An intelligent healthcare system with peer-to-peer learning and data assessment. [Internet] [Thesis]. RMIT University; 2018. [cited 2021 Mar 03]. Available from: http://researchbank.rmit.edu.au/view/rmit:162620.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xie R. An intelligent healthcare system with peer-to-peer learning and data assessment. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162620

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of North Texas

17. Sundaravadivel, Prabha. Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions.

Degree: 2018, University of North Texas

URL: https://digital.library.unt.edu/ark:/67531/metadc1157532/

► Human body is a complex system organized at different levels such as cells, tissues and organs, which contributes to 11 important organ systems. The functional… (more)

Subjects/Keywords: Smart Healthcare; Internet of Things; Wearable; Sensor Design; Thyroid Monitoring; Activity Tracking; Human body Communication (HBC); Computer Science

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APA (6^th Edition):

Sundaravadivel, P. (2018). Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157532/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sundaravadivel, Prabha. “Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions.” 2018. Thesis, University of North Texas. Accessed March 03, 2021. https://digital.library.unt.edu/ark:/67531/metadc1157532/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sundaravadivel, Prabha. “Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions.” 2018. Web. 03 Mar 2021.

Vancouver:

Sundaravadivel P. Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions. [Internet] [Thesis]. University of North Texas; 2018. [cited 2021 Mar 03]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157532/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sundaravadivel P. Application-Specific Things Architectures for IoT-Based Smart Healthcare Solutions. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157532/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Linnaeus University

18. Babar, Ayesha. Monitoring of Vital Signs Parameters with ICTs : A Participatory Design Approach.

Degree: Informatics, 2020, Linnaeus University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97030

► The development of internet-based technologies, the design and adoption of wireless wearable and smart devices have been a growing study spot in all domains.… (more)

▼ The development of internet-based technologies, the design and adoption of wireless wearable and smart devices have been a growing study spot in all domains. The healthcare sector as many others is making technological progress to improve healthcare services and patients wellbeing and avoid or minimize the use of manual and traditional practices such as the use of paper notes to record the vital signs parameters data. The vital signs parameters are the most monitored physiology features, they produce a big amount of data and request a close follow up to define the health condition of a patient. Continuous vital signs monitoring involves the usage of different devices and systems, which if appropriate positively impact the activities involved, by enabling the continuous generation of data and information about the overall health status of patients and contribute to the wellbeing of individuals, in terms of preventing and reducing fatal risks. To investigate this situation, this research’s focus was in three parts; first, investigate recent research about patient’s health predictions based on vital signs parameters and the impacts of continuous monitoring on the care given. Second, explore the availability in terms of i.e. sensors used in devices that can continuously track vital signs parameters. Last, to provide a possible design recommendation to improve and/or replace the existing devices for vital signs parameters measuring and monitoring in emergency and post-operative care. A qualitative approach and participatory design approach were used to collect data. The qualitative part was achieved through interviews and the participatory design part was accomplished by the future workshop and two prototyping techniques, paper and digital prototypes. The findings of this research were analysed using conceptual analysis, and also discussed using those concepts. Together with the participants, this research resulted in three design suggestions which if implemented shall improve the vital signs continuous monitoring activities, by facilitating the healthcare professionals in their clinical responsibilities and improving the patients wellbeing while admitted in Emergency and Post-operative wards.

Subjects/Keywords: Healthcare; Participatory design; eHealth; Vital signs monitoring; Continuous vital signs monitoring; Smart health monitoring; Information Systems; Systemvetenskap, informationssystem och informatik; Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Babar, A. (2020). Monitoring of Vital Signs Parameters with ICTs : A Participatory Design Approach. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97030

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Babar, Ayesha. “Monitoring of Vital Signs Parameters with ICTs : A Participatory Design Approach.” 2020. Thesis, Linnaeus University. Accessed March 03, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97030.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Babar, Ayesha. “Monitoring of Vital Signs Parameters with ICTs : A Participatory Design Approach.” 2020. Web. 03 Mar 2021.

Vancouver:

Babar A. Monitoring of Vital Signs Parameters with ICTs : A Participatory Design Approach. [Internet] [Thesis]. Linnaeus University; 2020. [cited 2021 Mar 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97030.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Babar A. Monitoring of Vital Signs Parameters with ICTs : A Participatory Design Approach. [Thesis]. Linnaeus University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97030

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Roshan, Muhammad Hassan Ahmad. Eloping Prevention, Occupancy Detection and Localizing System for Smart Healthcare Applications .

Degree: 2014, University of Ottawa

URL: http://hdl.handle.net/10393/30926

► The purpose of this thesis is to devise a system based on RFID (Radio Frequency IDentification) that can be used for smart healthcare applications. Location… (more)

Subjects/Keywords: RFID; indoor localization; smart healthcare; Eloping Prevention; Tracking; Occupancy Detection

…72 vii Chapter 1. Introduction 1.1. Overview of the Field 1.1.1 Smart Healthcare… …other than to explore smart healthcare. Smart healthcare, in simple words, is nothing other… …birth to the concept of smart healthcare. During the course of this thesis, it is impossible… …development and exploration of RFID based 1 smart healthcare applications. 1.1.2 RFID RFID stands… …Performance of a RFID based Smart Healthcare Monitoring System The performance of monitoring system…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Roshan, M. H. A. (2014). Eloping Prevention, Occupancy Detection and Localizing System for Smart Healthcare Applications . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/30926

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Roshan, Muhammad Hassan Ahmad. “Eloping Prevention, Occupancy Detection and Localizing System for Smart Healthcare Applications .” 2014. Thesis, University of Ottawa. Accessed March 03, 2021. http://hdl.handle.net/10393/30926.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Roshan, Muhammad Hassan Ahmad. “Eloping Prevention, Occupancy Detection and Localizing System for Smart Healthcare Applications .” 2014. Web. 03 Mar 2021.

Vancouver:

Roshan MHA. Eloping Prevention, Occupancy Detection and Localizing System for Smart Healthcare Applications . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/10393/30926.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roshan MHA. Eloping Prevention, Occupancy Detection and Localizing System for Smart Healthcare Applications . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/30926

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Kentucky

20. Greene, Shalom. IoT DEVELOPMENT FOR HEALTHY INDEPENDENT LIVING.

Degree: 2017, University of Kentucky

URL: https://uknowledge.uky.edu/ece_etds/103

► The rise of internet connected devices has enabled the home with a vast amount of enhancements to make life more convenient. These internet connected devices… (more)

▼ The rise of internet connected devices has enabled the home with a vast amount of enhancements to make life more convenient. These internet connected devices can be used to form a community of devices known as the internet of things (IoT). There is great value in IoT devices to promote healthy independent living for older adults. Fall-related injuries has been one of the leading causes of death in older adults. For example, every year more than a third of people over 65 in the U.S. experience a fall, of which up to 30 percent result in moderate to severe injury. Therefore, this thesis proposes an IoT-based fall detection system for smart home environments that not only to send out alerts, but also launches interaction models, such as voice assistance and camera monitoring. Such connectivity could allow older adults to interact with the system without concern of a learning curve. The proposed IoT-based fall detection system will enable family and caregivers to be immediately notified of the event and remotely monitor the individual. Integrated within a smart home environment, the proposed IoT-based fall detection system can improve the quality of life among older adults. Along with the physical concerns of health, psychological stress is also a great concern among older adults. Stress has been linked to emotional and physical conditions such as depression, anxiety, heart attacks, stroke, etc. Increased susceptibility to stress may accelerate cognitive decline resulting in conversion of cognitively normal older adults to MCI (Mild Cognitive Impairment), and MCI to dementia. Thus, if stress can be measured, there can be countermeasures put in place to reduce stress and its negative effects on the psychological and physical health of older adults. This thesis presents a framework that can be used to collect and pre-process physiological data for the purpose of validating galvanic skin response (GSR), heart rate (HR), and emotional valence (EV) measurements against the cortisol and self-reporting benchmarks for stress detection. The results of this framework can be used for feature extraction to feed into a regression model for validating each combination of physiological measurement. Also, the potential of this framework to automate stress protocols like the Trier Social Stress Test (TSST) could pave the way for an IoT-based platform for automated stress detection and management.

Subjects/Keywords: Internet of Things; smart healthcare; quality of life; affective computing; stress detection; voice automation; Amazon Echo; biosensing; GSR; automated facial expression analysis; Computer Engineering; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Greene, S. (2017). IoT DEVELOPMENT FOR HEALTHY INDEPENDENT LIVING. (Masters Thesis). University of Kentucky. Retrieved from https://uknowledge.uky.edu/ece_etds/103

Chicago Manual of Style (16^th Edition):

Greene, Shalom. “IoT DEVELOPMENT FOR HEALTHY INDEPENDENT LIVING.” 2017. Masters Thesis, University of Kentucky. Accessed March 03, 2021. https://uknowledge.uky.edu/ece_etds/103.

MLA Handbook (7^th Edition):

Greene, Shalom. “IoT DEVELOPMENT FOR HEALTHY INDEPENDENT LIVING.” 2017. Web. 03 Mar 2021.

Vancouver:

Greene S. IoT DEVELOPMENT FOR HEALTHY INDEPENDENT LIVING. [Internet] [Masters thesis]. University of Kentucky; 2017. [cited 2021 Mar 03]. Available from: https://uknowledge.uky.edu/ece_etds/103.

Council of Science Editors:

Greene S. IoT DEVELOPMENT FOR HEALTHY INDEPENDENT LIVING. [Masters Thesis]. University of Kentucky; 2017. Available from: https://uknowledge.uky.edu/ece_etds/103

Iowa State University

21. Reyes Alamo, Jose Manuel. A framework for safe composition of heterogeneous SOA services in a pervasive computing environment with resource constraints.

Degree: 2010, Iowa State University

URL: https://lib.dr.iastate.edu/etd/11445

► The Service Oriented Computing (SOC) paradigm, defines services as software artifacts whose implementations are separated from their specifications. Application developers rely on services to simplify… (more)

Subjects/Keywords: Formal Methods; Healthcare IT; Requirements Engineering; Service Oriented Architecture; Smart Homes; Software Engineering; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Reyes Alamo, J. M. (2010). A framework for safe composition of heterogeneous SOA services in a pervasive computing environment with resource constraints. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/11445

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Reyes Alamo, Jose Manuel. “A framework for safe composition of heterogeneous SOA services in a pervasive computing environment with resource constraints.” 2010. Thesis, Iowa State University. Accessed March 03, 2021. https://lib.dr.iastate.edu/etd/11445.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Reyes Alamo, Jose Manuel. “A framework for safe composition of heterogeneous SOA services in a pervasive computing environment with resource constraints.” 2010. Web. 03 Mar 2021.

Vancouver:

Reyes Alamo JM. A framework for safe composition of heterogeneous SOA services in a pervasive computing environment with resource constraints. [Internet] [Thesis]. Iowa State University; 2010. [cited 2021 Mar 03]. Available from: https://lib.dr.iastate.edu/etd/11445.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reyes Alamo JM. A framework for safe composition of heterogeneous SOA services in a pervasive computing environment with resource constraints. [Thesis]. Iowa State University; 2010. Available from: https://lib.dr.iastate.edu/etd/11445

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Snow, Nancy L. Listen to your Body: Designing for Type 2 Diabetes Management.

Degree: MDes - Master of Design, Design, 2015, York University

URL: http://hdl.handle.net/10315/29889

► This study informed the design of several components of a digital application to support education and strategies for the management of type 2 diabetes. This… (more)

Subjects/Keywords: Design; Health education; Graphic design; Information design; Interactive design; Type 2 diabetes; Usability heuristics; D.E.C.I.D.E framework; MoSCoW rules; Usability testing; Scenario-based design; Wireframing; Wireframe; Usability study; High-fidelity prototype; Prototype design; Expert interviews; Healthcare provider; Task-based scenarios; Cultural difference; Talk-aloud protocol; Digital app; Digital application; Smart phone; Tablet; Android; BGL; Blood glucose level; Tracker; Requirements; NFL; Nutrition Facts label

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Snow, N. L. (2015). Listen to your Body: Designing for Type 2 Diabetes Management. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/29889

Chicago Manual of Style (16^th Edition):

Snow, Nancy L. “Listen to your Body: Designing for Type 2 Diabetes Management.” 2015. Masters Thesis, York University. Accessed March 03, 2021. http://hdl.handle.net/10315/29889.

MLA Handbook (7^th Edition):

Snow, Nancy L. “Listen to your Body: Designing for Type 2 Diabetes Management.” 2015. Web. 03 Mar 2021.

Vancouver:

Snow NL. Listen to your Body: Designing for Type 2 Diabetes Management. [Internet] [Masters thesis]. York University; 2015. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/10315/29889.

Council of Science Editors:

Snow NL. Listen to your Body: Designing for Type 2 Diabetes Management. [Masters Thesis]. York University; 2015. Available from: http://hdl.handle.net/10315/29889

23. Al-qaysi, Ibrahim. Communicating with a Smart Pillbox via Near Field Communication (NFC) : A Mobile Application for Healthcare Professionals.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232086

►

The lack of medication adherence leads to an incremental risk of diseases which can be a major burden on the individual, healthcare system, and… (more)

▼

The lack of medication adherence leads to an incremental risk of diseases which can be a major burden on the individual, healthcare system, and society. Hence, healthcare professionals have a central role and should manage, guide, educate, and make their patient more involved in their treatment and thereby promoting a better medication adherence. Medication adherence is a great challenge for many patients with chronic conditions, elderly patient, or patient prescribed to long-term medication. The rapid development and deployment of mobile phones in the healthcare industry has an important role to play in this area and has led to the development of new phone features and applications that can help both caregivers and patients with managing and monitoring medication intakes. This development and support of mobile phones and applications have created and improved doctor-patient interaction. Today, there is no easy way for healthcare professionals to monitor and help patients with their medication intakes. A solution to this problem is to develop a mobile application that communicates with a smart pillbox via near field communication (NFC) to monitor, manage, and improve patient’s medication intakes in an easy and accessible manner. Using NFC as a communication technology allows data to be wirelessly transferred from phone to pillbox and vice versa. This solution will help healthcare professionals to create better treatment conditions and fewer side effects for their patients. These patients will be more knowledgeable and motivated to take greater responsibility in following doctor’s instructions, thereby improving their treatment process. The application is tested and evaluated during every iteration phase of the development process. These tests have been conducted by allowing healthcare professionals to test the application and provide feedback on their experience when using the app. Conducting these tests have helped with generating new ideas, features, and functionalities, but also helped to improve the user interface to make the application as user-friendly as possible.

Bristen på medicinering följsamhet leder till en ökad risk för sjukdomar som kan vara en stor belastning för individen, vårdsystemet och samhället. Hälsooch sjukvårdspersonal har därför en central roll och bör hantera, vägleda, utbilda och göra patienten mer delaktig i behandlingen och därigenom främja en bättre medicinering följsamhet. Medicinering följsamhet är en stor utmaning för många patienter med kroniska tillstånd, äldre patient eller patient som är ordinerad för långvarig medicinering. Den snabba utvecklingen och användningen av mobiltelefoner inom vårdindustrin har en viktig roll att spela i detta område och har lett till utvecklingen av nya funktioner och applikationer som kan hjälpa både vårdgivare och patienter med att hantera och övervaka medicinsk intag. Denna utveckling och support av mobiltelefoner och applikationer har skapat och förbättrat interaktion mellan läkare och…

Subjects/Keywords: Medication adherence; Healthcare; Mobile application; Android; Smart pillbox; Near Field Communication (NFC).; Medicinering följsamhet; sjukvård; mobil applikation; Android; smart pillerdosa; Near Field Communication (NFC).; Computer and Information Sciences; Data- och informationsvetenskap; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik

…healthcare professional that can communicate with a smart pillbox via Near Field Communication… …The use of ICT in the healthcare industry is quickly evolving with the arrival of… …Mobile phones and applications are contributing factors to the healthcare system due to the… …healthcare systems. These m-Health applications not allow only the user to track the state of their… …health but also enable doctors, caregivers, and healthcare professionals to track the medical…

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APA (6^th Edition):

Al-qaysi, I. (2018). Communicating with a Smart Pillbox via Near Field Communication (NFC) : A Mobile Application for Healthcare Professionals. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Al-qaysi, Ibrahim. “Communicating with a Smart Pillbox via Near Field Communication (NFC) : A Mobile Application for Healthcare Professionals.” 2018. Thesis, KTH. Accessed March 03, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Al-qaysi, Ibrahim. “Communicating with a Smart Pillbox via Near Field Communication (NFC) : A Mobile Application for Healthcare Professionals.” 2018. Web. 03 Mar 2021.

Vancouver:

Al-qaysi I. Communicating with a Smart Pillbox via Near Field Communication (NFC) : A Mobile Application for Healthcare Professionals. [Internet] [Thesis]. KTH; 2018. [cited 2021 Mar 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Al-qaysi I. Communicating with a Smart Pillbox via Near Field Communication (NFC) : A Mobile Application for Healthcare Professionals. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations