Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24192
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dc.coverage.spatialECG signal processing for stress analysisen_US
dc.date.accessioned2014-08-28T05:05:02Z-
dc.date.available2014-08-28T05:05:02Z-
dc.date.issued2014-08-28-
dc.identifier.urihttp://hdl.handle.net/10603/24192-
dc.description.abstractElectrocardiogram a noninvasive technique is used as a primary diagnostic tool for cardiovascular diseases A cleaned ECG signal provides necessary information about the electrophysiology of the heart diseases and ischemic changes that may occur It gives valuable information about the functional aspects of the heart and cardiovascular system The idea of the thesis is to automatic detection of cardiac arrhythmias in ECG signal newlineWindows wavelets and fuzzy clustering signal processing techniques are used in this thesis for detection of cardiac arrhythmias The detection of cardiac arrhythmias in the ECG signal consists of following stages detection of RR interval in ECG signal feature extraction from detected RR interval classification of beats using extracted feature set from RR interval In turn automatic classification of heartbeats represents the automatic detection of cardiac arrhythmias in ECG signal This thesis investigates the development newlineof appropriate HRV signal processing techniques in the context of pilot studies in two fields of potential application smoker and Non smoker RR interval detection is the first step towards automatic detection of cardiac arrhythmias in ECG signal A Lab view based ECG recording is proposed in chapter 3 of this thesis The detection of RR interval from continuous ECG signal is computed using windows and wavelet based technique in chapter4 newline newlineen_US
dc.format.extentxxv, 211p.en_US
dc.languageEnglishen_US
dc.relationp.199-208.en_US
dc.rightsuniversityen_US
dc.titleCertain investigations on ECG signal processing for stress analysisen_US
dc.title.alternativeen_US
dc.creator.researcherRanganathan Gen_US
dc.subject.keywordAutonomic Nervous Systemen_US
dc.subject.keywordECGen_US
dc.subject.keywordElectrocardiogramen_US
dc.subject.keywordHeart-Rate Variabilityen_US
dc.subject.keywordInformation and communication engineeringen_US
dc.subject.keywordTime-Frequency Analysisen_US
dc.description.noteAppendix p.197-198, References p.199-208.en_US
dc.contributor.guideRangarajan Ren_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/12/2012en_US
dc.date.awarded30/12/2012en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File38.81 kBAdobe PDFView/Open
02_certificate.pdf812.85 kBAdobe PDFView/Open
03_abstract.pdf10.44 kBAdobe PDFView/Open
04_acknowledgement.pdf6.04 kBAdobe PDFView/Open
05_contents.pdf42.86 kBAdobe PDFView/Open
06_chapter1.pdf1.24 MBAdobe PDFView/Open
07_chapter2.pdf82.91 kBAdobe PDFView/Open
08_chapter3.pdf109.09 kBAdobe PDFView/Open
09_chapter4.pdf363.69 kBAdobe PDFView/Open
10_chapter5.pdf354.92 kBAdobe PDFView/Open
11_chapter6.pdf966.39 kBAdobe PDFView/Open
12_chapter7.pdf19.17 kBAdobe PDFView/Open
13_appendix.pdf7.11 kBAdobe PDFView/Open
14_references.pdf35.77 kBAdobe PDFView/Open
15_publications.pdf8.65 kBAdobe PDFView/Open
16_vitae.pdf5 kBAdobe PDFView/Open


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