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You searched for +publisher:"NSYSU" +contributor:("Pei-Jung Chen"). One record found.

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NSYSU

1. Wang, Yuan-Hung. Electrocardiogram Signal for the Detection of Obstructive Sleep Apnoea Via Artificial Neural Networks.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2004, NSYSU

SAS has become an increasingly important public-health problem in recent years. It can adversely affect neurocognitive, cardiovascular, respiratory diseases and can also cause behavior disorder. Moreover, up to 90% of these cases are obstructive sleep apnea (OSA). Therefore, the study of how to diagnose, detect and treat OSA is becoming a significant issue, both academically and medically. Polysomnography can monitor the OSA with relatively fewer invasive techniques. However, polysomnography-based sleep studies are expensive and time-consuming because they require overnight evaluation in sleep laboratories with dedicated systems and attending personnel. Therefore, to improve such inconveniences, one needs to develop a simplified method to diagnose the OSA, so that the OSA can be detected with less time and reduced financial costs. Since currently there seems to be no OSA detection technique available in Taiwan, the goal of this work is to develop a reliable OSA diagnostic algorithm. In particular, via signal processing, feature extraction and artificial intelligence, this thesis describes an on-line ECG-based OSA diagnostic system. It is hoped that with such a system the OSA can be detected efficiently and accurately. Advisors/Committee Members: Pei-Jung Chen (chair), Jian-De Li (chair), Cheng-Wen Yan (committee member).

Subjects/Keywords: OSA; ECG; Neural Network

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

APA (6th Edition):

Wang, Y. (2004). Electrocardiogram Signal for the Detection of Obstructive Sleep Apnoea Via Artificial Neural Networks. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701104-182302

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):

Wang, Yuan-Hung. “Electrocardiogram Signal for the Detection of Obstructive Sleep Apnoea Via Artificial Neural Networks.” 2004. Thesis, NSYSU. Accessed January 19, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701104-182302.

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

MLA Handbook (7th Edition):

Wang, Yuan-Hung. “Electrocardiogram Signal for the Detection of Obstructive Sleep Apnoea Via Artificial Neural Networks.” 2004. Web. 19 Jan 2020.

Vancouver:

Wang Y. Electrocardiogram Signal for the Detection of Obstructive Sleep Apnoea Via Artificial Neural Networks. [Internet] [Thesis]. NSYSU; 2004. [cited 2020 Jan 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701104-182302.

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

Council of Science Editors:

Wang Y. Electrocardiogram Signal for the Detection of Obstructive Sleep Apnoea Via Artificial Neural Networks. [Thesis]. NSYSU; 2004. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701104-182302

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

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