Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/136718
Title: Investigations onrespiratory signal classifications using artifical intelligence
Researcher: Bhavanisankar A
Guide(s): Arputha vijayaselvi J
Keywords: artifical intelligence
Electrical engineering
signal
University: Anna University
Completed Date: 01/09/2015
Abstract: Almost two decades ago sleep apnea was conidered to be a medically inquisitive subject of little significance and snoring was merely the subject of humor rather than one of serious investigation recently countless studies have been published concerning all possible aspects of sleep apnea syndrome epidemiological and clinical research revealed that the obstructive sleep apnea syndrome may be considered as a major public health problem and that the sequel of the syndrome may have devastating consequences for the lives of those affected newline
Pagination: xxiv, 178p.
URI: http://hdl.handle.net/10603/136718
Appears in Departments:Faculty of Electrical Engineering

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01_title.pdfAttached File49.37 kBAdobe PDFView/Open
02_certificate.pdf795.46 kBAdobe PDFView/Open
03_abstract.pdf31.74 kBAdobe PDFView/Open
04_acknowledgement.pdf23.48 kBAdobe PDFView/Open
05_contents.pdf41.7 kBAdobe PDFView/Open
06_list of table.pdf38.02 kBAdobe PDFView/Open
07_list of symbols.pdf29.19 kBAdobe PDFView/Open
08_chapter 1.pdf205.22 kBAdobe PDFView/Open
09_chapter 2.pdf170.02 kBAdobe PDFView/Open
10_chapter 3.pdf875.31 kBAdobe PDFView/Open
11_chapter 4.pdf235.03 kBAdobe PDFView/Open
12_chapter 5.pdf1.38 MBAdobe PDFView/Open
13_appendix.pdf80.64 kBAdobe PDFView/Open
14_references.pdf113.1 kBAdobe PDFView/Open
15_publications.pdf117.44 kBAdobe PDFView/Open


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