Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(brain computer interface). Showing records 1 – 30 of 290 total matches.

[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

Search Limiters

Last 2 Years | English Only

Department

Degrees

Levels

Languages

Country

▼ Search Limiters

1. Ciancibello, John. Improving Real-Time Classification Methods for an Intracortical Brain Computer Interface in Humans.

Degree: Biomedical Engineering, 2017, Brown University

 A primary goal of intracortical Brain-Computer Interface (iBCI) technology is to restore communication and independence for people with motor disabilities. The BrainGate System is an… (more)

Subjects/Keywords: Brain-Computer Interface

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ciancibello, J. (2017). Improving Real-Time Classification Methods for an Intracortical Brain Computer Interface in Humans. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733302/

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

Chicago Manual of Style (16th Edition):

Ciancibello, John. “Improving Real-Time Classification Methods for an Intracortical Brain Computer Interface in Humans.” 2017. Thesis, Brown University. Accessed July 10, 2020. https://repository.library.brown.edu/studio/item/bdr:733302/.

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

MLA Handbook (7th Edition):

Ciancibello, John. “Improving Real-Time Classification Methods for an Intracortical Brain Computer Interface in Humans.” 2017. Web. 10 Jul 2020.

Vancouver:

Ciancibello J. Improving Real-Time Classification Methods for an Intracortical Brain Computer Interface in Humans. [Internet] [Thesis]. Brown University; 2017. [cited 2020 Jul 10]. Available from: https://repository.library.brown.edu/studio/item/bdr:733302/.

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

Council of Science Editors:

Ciancibello J. Improving Real-Time Classification Methods for an Intracortical Brain Computer Interface in Humans. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733302/

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


University of Toronto

2. Aleem, Idris Syed. Online Environmental Control of Multiple Devices using Transcranial Doppler (TCD) Ultrasonography.

Degree: 2012, University of Toronto

Individuals with severe impairments may use brain-computer interface (BCI) technologies in order to interact with their external environment. One non-invasive brain-monitoring technology which may be… (more)

Subjects/Keywords: TCD; Brain Computer Interface; 0541

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Aleem, I. S. (2012). Online Environmental Control of Multiple Devices using Transcranial Doppler (TCD) Ultrasonography. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/33315

Chicago Manual of Style (16th Edition):

Aleem, Idris Syed. “Online Environmental Control of Multiple Devices using Transcranial Doppler (TCD) Ultrasonography.” 2012. Masters Thesis, University of Toronto. Accessed July 10, 2020. http://hdl.handle.net/1807/33315.

MLA Handbook (7th Edition):

Aleem, Idris Syed. “Online Environmental Control of Multiple Devices using Transcranial Doppler (TCD) Ultrasonography.” 2012. Web. 10 Jul 2020.

Vancouver:

Aleem IS. Online Environmental Control of Multiple Devices using Transcranial Doppler (TCD) Ultrasonography. [Internet] [Masters thesis]. University of Toronto; 2012. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1807/33315.

Council of Science Editors:

Aleem IS. Online Environmental Control of Multiple Devices using Transcranial Doppler (TCD) Ultrasonography. [Masters Thesis]. University of Toronto; 2012. Available from: http://hdl.handle.net/1807/33315


University of Illinois – Chicago

3. Mugler, Emily M. Investigation of Speech for Communicative Brain-Computer Interface.

Degree: 2014, University of Illinois – Chicago

 Recent successes in decoding speech from cortical signals provide hope for restoring function to those who have lost the ability to speak normally. Despite these… (more)

Subjects/Keywords: brain-computer interface; electrocorticography; speech

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mugler, E. M. (2014). Investigation of Speech for Communicative Brain-Computer Interface. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/11211

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

Chicago Manual of Style (16th Edition):

Mugler, Emily M. “Investigation of Speech for Communicative Brain-Computer Interface.” 2014. Thesis, University of Illinois – Chicago. Accessed July 10, 2020. http://hdl.handle.net/10027/11211.

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

MLA Handbook (7th Edition):

Mugler, Emily M. “Investigation of Speech for Communicative Brain-Computer Interface.” 2014. Web. 10 Jul 2020.

Vancouver:

Mugler EM. Investigation of Speech for Communicative Brain-Computer Interface. [Internet] [Thesis]. University of Illinois – Chicago; 2014. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10027/11211.

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

Council of Science Editors:

Mugler EM. Investigation of Speech for Communicative Brain-Computer Interface. [Thesis]. University of Illinois – Chicago; 2014. Available from: http://hdl.handle.net/10027/11211

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


University of Missouri – Kansas City

4. Gottemukkula, Vikas. Application of Wrapper Methods to Non-Invasive Brain-State Detection: An Opto-Electric Approach .

Degree: 2011, University of Missouri – Kansas City

 Using a classification guided feature selection (wrapper method) in conjunction with a new performance metric, I present a solution to multi-class subject invariant Brain Computer(more)

Subjects/Keywords: Wrapper method; Brain Computer Interface

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gottemukkula, V. (2011). Application of Wrapper Methods to Non-Invasive Brain-State Detection: An Opto-Electric Approach . (Thesis). University of Missouri – Kansas City. Retrieved from http://hdl.handle.net/10355/9594

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

Chicago Manual of Style (16th Edition):

Gottemukkula, Vikas. “Application of Wrapper Methods to Non-Invasive Brain-State Detection: An Opto-Electric Approach .” 2011. Thesis, University of Missouri – Kansas City. Accessed July 10, 2020. http://hdl.handle.net/10355/9594.

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

MLA Handbook (7th Edition):

Gottemukkula, Vikas. “Application of Wrapper Methods to Non-Invasive Brain-State Detection: An Opto-Electric Approach .” 2011. Web. 10 Jul 2020.

Vancouver:

Gottemukkula V. Application of Wrapper Methods to Non-Invasive Brain-State Detection: An Opto-Electric Approach . [Internet] [Thesis]. University of Missouri – Kansas City; 2011. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10355/9594.

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

Council of Science Editors:

Gottemukkula V. Application of Wrapper Methods to Non-Invasive Brain-State Detection: An Opto-Electric Approach . [Thesis]. University of Missouri – Kansas City; 2011. Available from: http://hdl.handle.net/10355/9594

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

5. Yang, Yuan. Analyse de signaux EEG pour des applications grand-public des interfaces cerveau-machine : EEG signal analysis for brain-computer interfaces for large public applications.

Degree: Docteur es, Signal et images, 2013, Paris, ENST

Les interfaces cerveau-machine (ICM) utilisent les signaux émis par le cerveau pour contrôler des machines ainsi que des appareils (claviers, voitures, neuro-prothèses). Après plusieurs décennies… (more)

Subjects/Keywords: Interface cerveau-machine; Brain-computer interface

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yang, Y. (2013). Analyse de signaux EEG pour des applications grand-public des interfaces cerveau-machine : EEG signal analysis for brain-computer interfaces for large public applications. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2013ENST0043

Chicago Manual of Style (16th Edition):

Yang, Yuan. “Analyse de signaux EEG pour des applications grand-public des interfaces cerveau-machine : EEG signal analysis for brain-computer interfaces for large public applications.” 2013. Doctoral Dissertation, Paris, ENST. Accessed July 10, 2020. http://www.theses.fr/2013ENST0043.

MLA Handbook (7th Edition):

Yang, Yuan. “Analyse de signaux EEG pour des applications grand-public des interfaces cerveau-machine : EEG signal analysis for brain-computer interfaces for large public applications.” 2013. Web. 10 Jul 2020.

Vancouver:

Yang Y. Analyse de signaux EEG pour des applications grand-public des interfaces cerveau-machine : EEG signal analysis for brain-computer interfaces for large public applications. [Internet] [Doctoral dissertation]. Paris, ENST; 2013. [cited 2020 Jul 10]. Available from: http://www.theses.fr/2013ENST0043.

Council of Science Editors:

Yang Y. Analyse de signaux EEG pour des applications grand-public des interfaces cerveau-machine : EEG signal analysis for brain-computer interfaces for large public applications. [Doctoral Dissertation]. Paris, ENST; 2013. Available from: http://www.theses.fr/2013ENST0043


University of California – Berkeley

6. Secundo, Lavi. Analysis of Neural Activity in Human Motor Cortex - towards Brain Machine Interface System.

Degree: Neuroscience, 2010, University of California – Berkeley

 The discovery of directional tuned neurons in the primary motor cortex has advanced motor research in several domains. For instance, in the area of brain(more)

Subjects/Keywords: Nanoscience; brain computer interface; ECOG; motor control

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Secundo, L. (2010). Analysis of Neural Activity in Human Motor Cortex - towards Brain Machine Interface System. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/93k279tk

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

Chicago Manual of Style (16th Edition):

Secundo, Lavi. “Analysis of Neural Activity in Human Motor Cortex - towards Brain Machine Interface System.” 2010. Thesis, University of California – Berkeley. Accessed July 10, 2020. http://www.escholarship.org/uc/item/93k279tk.

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

MLA Handbook (7th Edition):

Secundo, Lavi. “Analysis of Neural Activity in Human Motor Cortex - towards Brain Machine Interface System.” 2010. Web. 10 Jul 2020.

Vancouver:

Secundo L. Analysis of Neural Activity in Human Motor Cortex - towards Brain Machine Interface System. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2020 Jul 10]. Available from: http://www.escholarship.org/uc/item/93k279tk.

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

Council of Science Editors:

Secundo L. Analysis of Neural Activity in Human Motor Cortex - towards Brain Machine Interface System. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/93k279tk

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


Texas A&M University

7. Cheng, Yu-Che. A Hybrid Brain-computer Interface for Intelligent Prosthetics.

Degree: 2014, Texas A&M University

 Over the past few decades, many researcher have shown that human can use brain signals to communicate with computers or machines by using brain-computer interfaces… (more)

Subjects/Keywords: Eye tracking; EEG; Brain-computer interface

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cheng, Y. (2014). A Hybrid Brain-computer Interface for Intelligent Prosthetics. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153806

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

Chicago Manual of Style (16th Edition):

Cheng, Yu-Che. “A Hybrid Brain-computer Interface for Intelligent Prosthetics.” 2014. Thesis, Texas A&M University. Accessed July 10, 2020. http://hdl.handle.net/1969.1/153806.

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

MLA Handbook (7th Edition):

Cheng, Yu-Che. “A Hybrid Brain-computer Interface for Intelligent Prosthetics.” 2014. Web. 10 Jul 2020.

Vancouver:

Cheng Y. A Hybrid Brain-computer Interface for Intelligent Prosthetics. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1969.1/153806.

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

Council of Science Editors:

Cheng Y. A Hybrid Brain-computer Interface for Intelligent Prosthetics. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153806

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


Rochester Institute of Technology

8. Cinar, Eyup. A Study of recent classification algorithms and a novel approach for biosignal data classification.

Degree: Microelectronic Engineering, 2010, Rochester Institute of Technology

 Analyzing and understanding human biosignals have been important research areas that have many practical applications in everyday life. For example, Brain Computer Interface is a… (more)

Subjects/Keywords: Brain computer interface; Machine learning; Robotics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cinar, E. (2010). A Study of recent classification algorithms and a novel approach for biosignal data classification. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/7137

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

Chicago Manual of Style (16th Edition):

Cinar, Eyup. “A Study of recent classification algorithms and a novel approach for biosignal data classification.” 2010. Thesis, Rochester Institute of Technology. Accessed July 10, 2020. https://scholarworks.rit.edu/theses/7137.

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

MLA Handbook (7th Edition):

Cinar, Eyup. “A Study of recent classification algorithms and a novel approach for biosignal data classification.” 2010. Web. 10 Jul 2020.

Vancouver:

Cinar E. A Study of recent classification algorithms and a novel approach for biosignal data classification. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Jul 10]. Available from: https://scholarworks.rit.edu/theses/7137.

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

Council of Science Editors:

Cinar E. A Study of recent classification algorithms and a novel approach for biosignal data classification. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/7137

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


East Tennessee State University

9. Jones, Marissa R. Faces, Locations, and Tools: A Proposed Two-Stimulus P300 Brain Computer Interface.

Degree: MA, Psychology, 2017, East Tennessee State University

Brain Computer Interface (BCI) technology can be important for those unable to communicate due loss of muscle control. The P300 Speller allows communication at… (more)

Subjects/Keywords: EEG; Brain-Computer Interface; Cognitive Psychology

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jones, M. R. (2017). Faces, Locations, and Tools: A Proposed Two-Stimulus P300 Brain Computer Interface. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/3268

Chicago Manual of Style (16th Edition):

Jones, Marissa R. “Faces, Locations, and Tools: A Proposed Two-Stimulus P300 Brain Computer Interface.” 2017. Masters Thesis, East Tennessee State University. Accessed July 10, 2020. https://dc.etsu.edu/etd/3268.

MLA Handbook (7th Edition):

Jones, Marissa R. “Faces, Locations, and Tools: A Proposed Two-Stimulus P300 Brain Computer Interface.” 2017. Web. 10 Jul 2020.

Vancouver:

Jones MR. Faces, Locations, and Tools: A Proposed Two-Stimulus P300 Brain Computer Interface. [Internet] [Masters thesis]. East Tennessee State University; 2017. [cited 2020 Jul 10]. Available from: https://dc.etsu.edu/etd/3268.

Council of Science Editors:

Jones MR. Faces, Locations, and Tools: A Proposed Two-Stimulus P300 Brain Computer Interface. [Masters Thesis]. East Tennessee State University; 2017. Available from: https://dc.etsu.edu/etd/3268


University of Toronto

10. Myrden, Andrew. Detecting and Classifying Cognitive Activity Based on Changes in Cerebral Blood Flow Velocity.

Degree: 2011, University of Toronto

Individuals with severe physical impairments have a reduced ability to communicate through movement and speech. We investigated transcranial Doppler ultrasound as a potential measurement modality… (more)

Subjects/Keywords: brain-computer interface; transcranial doppler; 0541

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Myrden, A. (2011). Detecting and Classifying Cognitive Activity Based on Changes in Cerebral Blood Flow Velocity. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/31352

Chicago Manual of Style (16th Edition):

Myrden, Andrew. “Detecting and Classifying Cognitive Activity Based on Changes in Cerebral Blood Flow Velocity.” 2011. Masters Thesis, University of Toronto. Accessed July 10, 2020. http://hdl.handle.net/1807/31352.

MLA Handbook (7th Edition):

Myrden, Andrew. “Detecting and Classifying Cognitive Activity Based on Changes in Cerebral Blood Flow Velocity.” 2011. Web. 10 Jul 2020.

Vancouver:

Myrden A. Detecting and Classifying Cognitive Activity Based on Changes in Cerebral Blood Flow Velocity. [Internet] [Masters thesis]. University of Toronto; 2011. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1807/31352.

Council of Science Editors:

Myrden A. Detecting and Classifying Cognitive Activity Based on Changes in Cerebral Blood Flow Velocity. [Masters Thesis]. University of Toronto; 2011. Available from: http://hdl.handle.net/1807/31352


University of Adelaide

11. Yang, Ruiting. Signal processing for a brain computer interface.

Degree: 2010, University of Adelaide

Brain computer interface (BCI) systems measure brain signal and translate it into control commands in an attempt to mimic specific human thinking activities. In recent… (more)

Subjects/Keywords: Brain computer interface; BCI; EEG; Classifier

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yang, R. (2010). Signal processing for a brain computer interface. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/60004

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

Chicago Manual of Style (16th Edition):

Yang, Ruiting. “Signal processing for a brain computer interface.” 2010. Thesis, University of Adelaide. Accessed July 10, 2020. http://hdl.handle.net/2440/60004.

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

MLA Handbook (7th Edition):

Yang, Ruiting. “Signal processing for a brain computer interface.” 2010. Web. 10 Jul 2020.

Vancouver:

Yang R. Signal processing for a brain computer interface. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/2440/60004.

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

Council of Science Editors:

Yang R. Signal processing for a brain computer interface. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/60004

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


University of Toronto

12. Lu, Jie. Development and Evaluation of an Online Transcranial Doppler Ultrasonographic Brain-computer Interface for Communication.

Degree: 2013, University of Toronto

We investigated an emerging brain-computer interface (BCI) modality, namely, transcranial Doppler ultrasonography (TCD), which measures cerebral blood flow velocity. We hypothesized that a bilateral TCD-driven… (more)

Subjects/Keywords: Brain computer interface; Transcranial Doppler ultrasound; 0541

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lu, J. (2013). Development and Evaluation of an Online Transcranial Doppler Ultrasonographic Brain-computer Interface for Communication. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/43093

Chicago Manual of Style (16th Edition):

Lu, Jie. “Development and Evaluation of an Online Transcranial Doppler Ultrasonographic Brain-computer Interface for Communication.” 2013. Masters Thesis, University of Toronto. Accessed July 10, 2020. http://hdl.handle.net/1807/43093.

MLA Handbook (7th Edition):

Lu, Jie. “Development and Evaluation of an Online Transcranial Doppler Ultrasonographic Brain-computer Interface for Communication.” 2013. Web. 10 Jul 2020.

Vancouver:

Lu J. Development and Evaluation of an Online Transcranial Doppler Ultrasonographic Brain-computer Interface for Communication. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1807/43093.

Council of Science Editors:

Lu J. Development and Evaluation of an Online Transcranial Doppler Ultrasonographic Brain-computer Interface for Communication. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/43093


University of Toronto

13. Myrden, Andrew. Towards Context-aware Brain-computer Interfaces.

Degree: PhD, 2016, University of Toronto

Brain-computer interfaces (BCIs) allow individuals with disabilities to communicate and control their environment without the necessity for volitional speech or motor activation. However, most current… (more)

Subjects/Keywords: brain-computer interface; electroencephalography; mental state; 0541

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Myrden, A. (2016). Towards Context-aware Brain-computer Interfaces. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/89264

Chicago Manual of Style (16th Edition):

Myrden, Andrew. “Towards Context-aware Brain-computer Interfaces.” 2016. Doctoral Dissertation, University of Toronto. Accessed July 10, 2020. http://hdl.handle.net/1807/89264.

MLA Handbook (7th Edition):

Myrden, Andrew. “Towards Context-aware Brain-computer Interfaces.” 2016. Web. 10 Jul 2020.

Vancouver:

Myrden A. Towards Context-aware Brain-computer Interfaces. [Internet] [Doctoral dissertation]. University of Toronto; 2016. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1807/89264.

Council of Science Editors:

Myrden A. Towards Context-aware Brain-computer Interfaces. [Doctoral Dissertation]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/89264


University of Illinois – Urbana-Champaign

14. Froeter, Paul. Biocompatible silicon nitride thin films for self-rolled-up microtube technologies: guiding neurons.

Degree: MS, 1200, 2015, University of Illinois – Urbana-Champaign

 This thesis presents the evolution and optimization of a self-rolled-up membrane (s-RUM) that is not only insulating, but transparent and biocompatible, allowing it to be… (more)

Subjects/Keywords: self-assembled; thin film; brain computer interface

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Froeter, P. (2015). Biocompatible silicon nitride thin films for self-rolled-up microtube technologies: guiding neurons. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/73027

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

Chicago Manual of Style (16th Edition):

Froeter, Paul. “Biocompatible silicon nitride thin films for self-rolled-up microtube technologies: guiding neurons.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed July 10, 2020. http://hdl.handle.net/2142/73027.

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

MLA Handbook (7th Edition):

Froeter, Paul. “Biocompatible silicon nitride thin films for self-rolled-up microtube technologies: guiding neurons.” 2015. Web. 10 Jul 2020.

Vancouver:

Froeter P. Biocompatible silicon nitride thin films for self-rolled-up microtube technologies: guiding neurons. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/2142/73027.

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

Council of Science Editors:

Froeter P. Biocompatible silicon nitride thin films for self-rolled-up microtube technologies: guiding neurons. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/73027

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


University of Minnesota

15. Suma, Daniel. Ballistic Finger Imagery for Asynchronous BCI Control.

Degree: MS, Biomedical Engineering, 2017, University of Minnesota

 In this work a novel paradigm and algorithm are developed in order to decode ballistic finger imagery of both the left and right index fingers… (more)

Subjects/Keywords: Asynchronous Control; Brain Computer Interface; EEG; Imagery

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Suma, D. (2017). Ballistic Finger Imagery for Asynchronous BCI Control. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/202110

Chicago Manual of Style (16th Edition):

Suma, Daniel. “Ballistic Finger Imagery for Asynchronous BCI Control.” 2017. Masters Thesis, University of Minnesota. Accessed July 10, 2020. http://hdl.handle.net/11299/202110.

MLA Handbook (7th Edition):

Suma, Daniel. “Ballistic Finger Imagery for Asynchronous BCI Control.” 2017. Web. 10 Jul 2020.

Vancouver:

Suma D. Ballistic Finger Imagery for Asynchronous BCI Control. [Internet] [Masters thesis]. University of Minnesota; 2017. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/11299/202110.

Council of Science Editors:

Suma D. Ballistic Finger Imagery for Asynchronous BCI Control. [Masters Thesis]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/202110


University of Melbourne

16. Nurse, Ewan. Decoding upper-limb kinematics from electrocorticography.

Degree: 2017, University of Melbourne

Brain-computer interfaces (BCIs) are technologies for assisting individuals with motor impairments. Activity from the brain is recorded and then processed by a computer to control… (more)

Subjects/Keywords: electrocorticography; brain-computer interface; machine learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Nurse, E. (2017). Decoding upper-limb kinematics from electrocorticography. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/214110

Chicago Manual of Style (16th Edition):

Nurse, Ewan. “Decoding upper-limb kinematics from electrocorticography.” 2017. Doctoral Dissertation, University of Melbourne. Accessed July 10, 2020. http://hdl.handle.net/11343/214110.

MLA Handbook (7th Edition):

Nurse, Ewan. “Decoding upper-limb kinematics from electrocorticography.” 2017. Web. 10 Jul 2020.

Vancouver:

Nurse E. Decoding upper-limb kinematics from electrocorticography. [Internet] [Doctoral dissertation]. University of Melbourne; 2017. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/11343/214110.

Council of Science Editors:

Nurse E. Decoding upper-limb kinematics from electrocorticography. [Doctoral Dissertation]. University of Melbourne; 2017. Available from: http://hdl.handle.net/11343/214110


Washington University in St. Louis

17. Burns, Scott. The Design and Implementation of an Extensible Brain-Computer Interface.

Degree: MA, Biomedical Engineering, 2010, Washington University in St. Louis

 An implantable brain computer interface: BCI) includes tissue interface hardware, signal conditioning circuitry, analog-to-digital conversion: ADC) circuitry and some sort of computing hardware to discriminate… (more)

Subjects/Keywords: Brain-Computer Interface

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Burns, S. (2010). The Design and Implementation of an Extensible Brain-Computer Interface. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/501

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

Chicago Manual of Style (16th Edition):

Burns, Scott. “The Design and Implementation of an Extensible Brain-Computer Interface.” 2010. Thesis, Washington University in St. Louis. Accessed July 10, 2020. https://openscholarship.wustl.edu/etd/501.

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

MLA Handbook (7th Edition):

Burns, Scott. “The Design and Implementation of an Extensible Brain-Computer Interface.” 2010. Web. 10 Jul 2020.

Vancouver:

Burns S. The Design and Implementation of an Extensible Brain-Computer Interface. [Internet] [Thesis]. Washington University in St. Louis; 2010. [cited 2020 Jul 10]. Available from: https://openscholarship.wustl.edu/etd/501.

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

Council of Science Editors:

Burns S. The Design and Implementation of an Extensible Brain-Computer Interface. [Thesis]. Washington University in St. Louis; 2010. Available from: https://openscholarship.wustl.edu/etd/501

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


Université de Grenoble

18. Barachant, Alexandre. Commande robuste d'un effecteur par une interface cerveau machine EEG asynchrone : Robust control of an actuator by EEG based asynchronous BCI.

Degree: Docteur es, Signal, image, paroles, télécoms, 2012, Université de Grenoble

Cette thèse a pour but le développement d’une Interface cerveau-machine (ICM) à partir de la mesure EEG,permettant à l’utilisateur de communiquer avec un dispositif externe… (more)

Subjects/Keywords: Interface cerveau machine; EEG; ICM; Brain computer interface; EEG; BCI; 620

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Barachant, A. (2012). Commande robuste d'un effecteur par une interface cerveau machine EEG asynchrone : Robust control of an actuator by EEG based asynchronous BCI. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2012GRENT112

Chicago Manual of Style (16th Edition):

Barachant, Alexandre. “Commande robuste d'un effecteur par une interface cerveau machine EEG asynchrone : Robust control of an actuator by EEG based asynchronous BCI.” 2012. Doctoral Dissertation, Université de Grenoble. Accessed July 10, 2020. http://www.theses.fr/2012GRENT112.

MLA Handbook (7th Edition):

Barachant, Alexandre. “Commande robuste d'un effecteur par une interface cerveau machine EEG asynchrone : Robust control of an actuator by EEG based asynchronous BCI.” 2012. Web. 10 Jul 2020.

Vancouver:

Barachant A. Commande robuste d'un effecteur par une interface cerveau machine EEG asynchrone : Robust control of an actuator by EEG based asynchronous BCI. [Internet] [Doctoral dissertation]. Université de Grenoble; 2012. [cited 2020 Jul 10]. Available from: http://www.theses.fr/2012GRENT112.

Council of Science Editors:

Barachant A. Commande robuste d'un effecteur par une interface cerveau machine EEG asynchrone : Robust control of an actuator by EEG based asynchronous BCI. [Doctoral Dissertation]. Université de Grenoble; 2012. Available from: http://www.theses.fr/2012GRENT112

19. Rathee, Dheeraj. Advancing computational analysis and modelling of EEG/MEG data.

Degree: PhD, 2019, Ulster University

 To better understand the human brain, further advancements in the capabilities of computational modelling and analysis of functional neuroimaging data are required. Electro− and magneto−… (more)

Subjects/Keywords: Electroencephalography; Magnetoencephalography; Brain-Computer Interface; Data Analytics; Functional Brain Networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rathee, D. (2019). Advancing computational analysis and modelling of EEG/MEG data. (Doctoral Dissertation). Ulster University. Retrieved from https://ulster.pure.elsevier.com/en/studentTheses/a51a5fe9-dba6-47b0-8c48-71e6e21faf47 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793723

Chicago Manual of Style (16th Edition):

Rathee, Dheeraj. “Advancing computational analysis and modelling of EEG/MEG data.” 2019. Doctoral Dissertation, Ulster University. Accessed July 10, 2020. https://ulster.pure.elsevier.com/en/studentTheses/a51a5fe9-dba6-47b0-8c48-71e6e21faf47 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793723.

MLA Handbook (7th Edition):

Rathee, Dheeraj. “Advancing computational analysis and modelling of EEG/MEG data.” 2019. Web. 10 Jul 2020.

Vancouver:

Rathee D. Advancing computational analysis and modelling of EEG/MEG data. [Internet] [Doctoral dissertation]. Ulster University; 2019. [cited 2020 Jul 10]. Available from: https://ulster.pure.elsevier.com/en/studentTheses/a51a5fe9-dba6-47b0-8c48-71e6e21faf47 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793723.

Council of Science Editors:

Rathee D. Advancing computational analysis and modelling of EEG/MEG data. [Doctoral Dissertation]. Ulster University; 2019. Available from: https://ulster.pure.elsevier.com/en/studentTheses/a51a5fe9-dba6-47b0-8c48-71e6e21faf47 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793723


Washington University in St. Louis

20. Liu, Yuzong. Decoding Brain Activation from Ipsilateral Cortex using ECoG Signals in Humans.

Degree: MA, Computer Science and Engineering, 2011, Washington University in St. Louis

 Today, learning from the brain is the most challenging issue in many areas. Neural scientists, computer scientists, and engineers are collaborating in this broad research… (more)

Subjects/Keywords: Computer Science; Machine Learning, Brain Computer Interface, ECoG Signal, Ipsilateral

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liu, Y. (2011). Decoding Brain Activation from Ipsilateral Cortex using ECoG Signals in Humans. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/513

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

Chicago Manual of Style (16th Edition):

Liu, Yuzong. “Decoding Brain Activation from Ipsilateral Cortex using ECoG Signals in Humans.” 2011. Thesis, Washington University in St. Louis. Accessed July 10, 2020. https://openscholarship.wustl.edu/etd/513.

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

MLA Handbook (7th Edition):

Liu, Yuzong. “Decoding Brain Activation from Ipsilateral Cortex using ECoG Signals in Humans.” 2011. Web. 10 Jul 2020.

Vancouver:

Liu Y. Decoding Brain Activation from Ipsilateral Cortex using ECoG Signals in Humans. [Internet] [Thesis]. Washington University in St. Louis; 2011. [cited 2020 Jul 10]. Available from: https://openscholarship.wustl.edu/etd/513.

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

Council of Science Editors:

Liu Y. Decoding Brain Activation from Ipsilateral Cortex using ECoG Signals in Humans. [Thesis]. Washington University in St. Louis; 2011. Available from: https://openscholarship.wustl.edu/etd/513

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

21. Dangi, Siddharth. Closed-loop decoder adaptation algorithms for brain-machine interface systems.

Degree: Electrical Engineering & Computer Sciences, 2015, University of California – Berkeley

Brain-machine interfaces (BMIs) aim to assist patients suffering from neurological injuries and disease by enabling them to use their own neural activity to control external… (more)

Subjects/Keywords: Electrical engineering; Computer science; Neurosciences; BCI; BMI; brain-computer interface; brain-machine interface; CLDA; closed-loop decoder adaptation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Dangi, S. (2015). Closed-loop decoder adaptation algorithms for brain-machine interface systems. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/5xx451th

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

Chicago Manual of Style (16th Edition):

Dangi, Siddharth. “Closed-loop decoder adaptation algorithms for brain-machine interface systems.” 2015. Thesis, University of California – Berkeley. Accessed July 10, 2020. http://www.escholarship.org/uc/item/5xx451th.

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

MLA Handbook (7th Edition):

Dangi, Siddharth. “Closed-loop decoder adaptation algorithms for brain-machine interface systems.” 2015. Web. 10 Jul 2020.

Vancouver:

Dangi S. Closed-loop decoder adaptation algorithms for brain-machine interface systems. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2020 Jul 10]. Available from: http://www.escholarship.org/uc/item/5xx451th.

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

Council of Science Editors:

Dangi S. Closed-loop decoder adaptation algorithms for brain-machine interface systems. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/5xx451th

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


University of California – San Diego

22. Wei, Chun-Shu. Towards Brain Decoding for Real-World Drowsiness Detection.

Degree: Bioengineering, 2017, University of California – San Diego

 A brain-computer interface (BCI) allows human to communicate with a computer by thoughts. Recent advances in brain decoding have shown the capability of BCIs in… (more)

Subjects/Keywords: Bioengineering; Brain-computer interface; Brain decoding; Drowsiness; EEG; Non-hair-bearing EEG; Transfer learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wei, C. (2017). Towards Brain Decoding for Real-World Drowsiness Detection. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/6zg154xw

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

Chicago Manual of Style (16th Edition):

Wei, Chun-Shu. “Towards Brain Decoding for Real-World Drowsiness Detection.” 2017. Thesis, University of California – San Diego. Accessed July 10, 2020. http://www.escholarship.org/uc/item/6zg154xw.

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

MLA Handbook (7th Edition):

Wei, Chun-Shu. “Towards Brain Decoding for Real-World Drowsiness Detection.” 2017. Web. 10 Jul 2020.

Vancouver:

Wei C. Towards Brain Decoding for Real-World Drowsiness Detection. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2020 Jul 10]. Available from: http://www.escholarship.org/uc/item/6zg154xw.

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

Council of Science Editors:

Wei C. Towards Brain Decoding for Real-World Drowsiness Detection. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/6zg154xw

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


Carnegie Mellon University

23. Clanton, Samuel T. Brain-Computer Interface Control of an Anthropomorphic Robotic Arm.

Degree: 2011, Carnegie Mellon University

 This thesis describes a brain-computer interface (BCI) system that was developed to allow direct cortical control of 7 active degrees of freedom in a robotic… (more)

Subjects/Keywords: Brain-computer interface; BCI; brain-machine interface; neuroprosthesis; motor control; robot; shared control; virtual fixture; impedance; compliance; Robotics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Clanton, S. T. (2011). Brain-Computer Interface Control of an Anthropomorphic Robotic Arm. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/170

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

Chicago Manual of Style (16th Edition):

Clanton, Samuel T. “Brain-Computer Interface Control of an Anthropomorphic Robotic Arm.” 2011. Thesis, Carnegie Mellon University. Accessed July 10, 2020. http://repository.cmu.edu/dissertations/170.

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

MLA Handbook (7th Edition):

Clanton, Samuel T. “Brain-Computer Interface Control of an Anthropomorphic Robotic Arm.” 2011. Web. 10 Jul 2020.

Vancouver:

Clanton ST. Brain-Computer Interface Control of an Anthropomorphic Robotic Arm. [Internet] [Thesis]. Carnegie Mellon University; 2011. [cited 2020 Jul 10]. Available from: http://repository.cmu.edu/dissertations/170.

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

Council of Science Editors:

Clanton ST. Brain-Computer Interface Control of an Anthropomorphic Robotic Arm. [Thesis]. Carnegie Mellon University; 2011. Available from: http://repository.cmu.edu/dissertations/170

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


Boston University

24. Panko, Mikhail. Developing implant technologies and evaluating brain-machine interfaces using information theory.

Degree: PhD, Neuroscience, 2014, Boston University

Brain-machine interfaces (BMIs) hold promise for restoring motor functions in severely paralyzed individuals. Invasive BMIs are capable of recording signals from individual neurons and typically… (more)

Subjects/Keywords: Neurosciences; Utah array; Brain-computer interface; Brain-machine interface; Information theory; Information transfer rate; Neurotrophic electrode

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Panko, M. (2014). Developing implant technologies and evaluating brain-machine interfaces using information theory. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/15341

Chicago Manual of Style (16th Edition):

Panko, Mikhail. “Developing implant technologies and evaluating brain-machine interfaces using information theory.” 2014. Doctoral Dissertation, Boston University. Accessed July 10, 2020. http://hdl.handle.net/2144/15341.

MLA Handbook (7th Edition):

Panko, Mikhail. “Developing implant technologies and evaluating brain-machine interfaces using information theory.” 2014. Web. 10 Jul 2020.

Vancouver:

Panko M. Developing implant technologies and evaluating brain-machine interfaces using information theory. [Internet] [Doctoral dissertation]. Boston University; 2014. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/2144/15341.

Council of Science Editors:

Panko M. Developing implant technologies and evaluating brain-machine interfaces using information theory. [Doctoral Dissertation]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15341


University of California – Irvine

25. King, Christine Elizabeth. Brain-Computer Interface Systems for Neurorehabilitation.

Degree: Biomedical Engineering, 2014, University of California – Irvine

 This dissertation seeks to develop novel neurorehabilitative therapies and neuroprostheses for restorative treatments in stroke and spinal cord injury (SCI) individuals. Since standard physiotherapies and… (more)

Subjects/Keywords: Biomedical engineering; Neurosciences; brain-computer interface; neurorehabilitation; spinal cord injury; stroke

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

King, C. E. (2014). Brain-Computer Interface Systems for Neurorehabilitation. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/3z34h2wg

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

Chicago Manual of Style (16th Edition):

King, Christine Elizabeth. “Brain-Computer Interface Systems for Neurorehabilitation.” 2014. Thesis, University of California – Irvine. Accessed July 10, 2020. http://www.escholarship.org/uc/item/3z34h2wg.

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

MLA Handbook (7th Edition):

King, Christine Elizabeth. “Brain-Computer Interface Systems for Neurorehabilitation.” 2014. Web. 10 Jul 2020.

Vancouver:

King CE. Brain-Computer Interface Systems for Neurorehabilitation. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2020 Jul 10]. Available from: http://www.escholarship.org/uc/item/3z34h2wg.

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

Council of Science Editors:

King CE. Brain-Computer Interface Systems for Neurorehabilitation. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/3z34h2wg

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


University of Minnesota

26. Doud, Alexander James. Motor imagery retraining after stroke with virtual hands: an immersive sensorimotor rhythm-based brain-computer interface.

Degree: MS, Biomedical Engineering, 2013, University of Minnesota

University of Minnesota M.S. thesis. June 2013. Major: Biomedical Engineering. Advisor: Bin He. 1 computer file (PDF); v, 34 pages.

The burden of stroke on… (more)

Subjects/Keywords: Brain-computer interface; EEG; Paralysis; Rehabilitation; Stroke; Virtual Reality

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Doud, A. J. (2013). Motor imagery retraining after stroke with virtual hands: an immersive sensorimotor rhythm-based brain-computer interface. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/157410

Chicago Manual of Style (16th Edition):

Doud, Alexander James. “Motor imagery retraining after stroke with virtual hands: an immersive sensorimotor rhythm-based brain-computer interface.” 2013. Masters Thesis, University of Minnesota. Accessed July 10, 2020. http://purl.umn.edu/157410.

MLA Handbook (7th Edition):

Doud, Alexander James. “Motor imagery retraining after stroke with virtual hands: an immersive sensorimotor rhythm-based brain-computer interface.” 2013. Web. 10 Jul 2020.

Vancouver:

Doud AJ. Motor imagery retraining after stroke with virtual hands: an immersive sensorimotor rhythm-based brain-computer interface. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2020 Jul 10]. Available from: http://purl.umn.edu/157410.

Council of Science Editors:

Doud AJ. Motor imagery retraining after stroke with virtual hands: an immersive sensorimotor rhythm-based brain-computer interface. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/157410


University of Rochester

27. Law, Andrew J. (1984 - ); Gdowski, Greg T. Brain-computer interface control with small motor cortex ensembles.

Degree: PhD, 2016, University of Rochester

 With advances in neuroscience and technology, brain-computer interfaces (BCIs) offer the potential to restore lost function to individuals with spinal cord injury or neurological disorders.… (more)

Subjects/Keywords: Brain-computer interface; Operant conditioning; Primary motor cortex

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Law, Andrew J. (1984 - ); Gdowski, G. T. (2016). Brain-computer interface control with small motor cortex ensembles. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30833

Chicago Manual of Style (16th Edition):

Law, Andrew J. (1984 - ); Gdowski, Greg T. “Brain-computer interface control with small motor cortex ensembles.” 2016. Doctoral Dissertation, University of Rochester. Accessed July 10, 2020. http://hdl.handle.net/1802/30833.

MLA Handbook (7th Edition):

Law, Andrew J. (1984 - ); Gdowski, Greg T. “Brain-computer interface control with small motor cortex ensembles.” 2016. Web. 10 Jul 2020.

Vancouver:

Law, Andrew J. (1984 - ); Gdowski GT. Brain-computer interface control with small motor cortex ensembles. [Internet] [Doctoral dissertation]. University of Rochester; 2016. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/1802/30833.

Council of Science Editors:

Law, Andrew J. (1984 - ); Gdowski GT. Brain-computer interface control with small motor cortex ensembles. [Doctoral Dissertation]. University of Rochester; 2016. Available from: http://hdl.handle.net/1802/30833

28. McCrimmon, Colin Matthew. Electroneurophysiological Signals for Movement-Based Brain-Computer Interface Applications.

Degree: Biomedical Engineering, 2017, University of California – Irvine

Brain-computer interfaces (BCIs) translate neural signals into machine commands for applications such as non-verbal communication, brain-controlled prostheses, motor rehabilitation, and even entertainment. However, there are… (more)

Subjects/Keywords: Bioengineering; Neurosciences; Physiology; BCI; BMI; brain computer interface; electrophysiology; neuroengineering; neuroscience

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

McCrimmon, C. M. (2017). Electroneurophysiological Signals for Movement-Based Brain-Computer Interface Applications. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/3g94w6kv

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

Chicago Manual of Style (16th Edition):

McCrimmon, Colin Matthew. “Electroneurophysiological Signals for Movement-Based Brain-Computer Interface Applications.” 2017. Thesis, University of California – Irvine. Accessed July 10, 2020. http://www.escholarship.org/uc/item/3g94w6kv.

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

MLA Handbook (7th Edition):

McCrimmon, Colin Matthew. “Electroneurophysiological Signals for Movement-Based Brain-Computer Interface Applications.” 2017. Web. 10 Jul 2020.

Vancouver:

McCrimmon CM. Electroneurophysiological Signals for Movement-Based Brain-Computer Interface Applications. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2020 Jul 10]. Available from: http://www.escholarship.org/uc/item/3g94w6kv.

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

Council of Science Editors:

McCrimmon CM. Electroneurophysiological Signals for Movement-Based Brain-Computer Interface Applications. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/3g94w6kv

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


Virginia Tech

29. Ailsworth Jr., James William. Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces.

Degree: MS, Mechanical Engineering, 2016, Virginia Tech

Brain-computer interfaces are an emerging technology that could provide channels for communication and control to severely disabled people suffering from locked-in syndrome. It has been… (more)

Subjects/Keywords: Brain-Computer Interface; Motor Imagery; Common Spatial Patterns; Riemannian Geometry

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ailsworth Jr., J. W. (2016). Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71371

Chicago Manual of Style (16th Edition):

Ailsworth Jr., James William. “Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces.” 2016. Masters Thesis, Virginia Tech. Accessed July 10, 2020. http://hdl.handle.net/10919/71371.

MLA Handbook (7th Edition):

Ailsworth Jr., James William. “Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces.” 2016. Web. 10 Jul 2020.

Vancouver:

Ailsworth Jr. JW. Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10919/71371.

Council of Science Editors:

Ailsworth Jr. JW. Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71371


Virginia Tech

30. Paluszek, Matthew Alan. Methods and Applications of Controlling Biomimetic Robotic Hands.

Degree: MS, Mechanical Engineering, 2014, Virginia Tech

 Vast improvements in robotics and wireless communication have made teleoperated robots significantly more prevalent in industry, defense, and research. To help bridge the gap for… (more)

Subjects/Keywords: humanoid robotics; data glove; brain computer interface; strain sensor; force sensor

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Paluszek, M. A. (2014). Methods and Applications of Controlling Biomimetic Robotic Hands. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/25335

Chicago Manual of Style (16th Edition):

Paluszek, Matthew Alan. “Methods and Applications of Controlling Biomimetic Robotic Hands.” 2014. Masters Thesis, Virginia Tech. Accessed July 10, 2020. http://hdl.handle.net/10919/25335.

MLA Handbook (7th Edition):

Paluszek, Matthew Alan. “Methods and Applications of Controlling Biomimetic Robotic Hands.” 2014. Web. 10 Jul 2020.

Vancouver:

Paluszek MA. Methods and Applications of Controlling Biomimetic Robotic Hands. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2020 Jul 10]. Available from: http://hdl.handle.net/10919/25335.

Council of Science Editors:

Paluszek MA. Methods and Applications of Controlling Biomimetic Robotic Hands. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/25335

[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

.