Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/471524
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dc.coverage.spatial
dc.date.accessioned2023-03-22T04:42:44Z-
dc.date.available2023-03-22T04:42:44Z-
dc.identifier.urihttp://hdl.handle.net/10603/471524-
dc.description.abstractquotAny heart rate or rhythm disorder or morphological pattern newlinechange indicates cardiac arrhythmia, which can be detected by newlinerecorded Electrocardiogram (ECG) waveform analysis. The ECG newlinehas become a routine part of any complete medical evaluation newlineand has been used as a diagnostic test. Visual inspection of ECG newlineprintouts is tedious and needs a meticulous study by the newlinephysician to identify arrhythmia.quot newline newline
dc.format.extent181 pg
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePerformance Evaluation of ECG Signal for Prediction and Classification of Cardiac Arrhythmia Using Computational Intelligence Techniques
dc.title.alternative
dc.creator.researcherV Sesha Ratna Kumari
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideP Rajesh Kumar
dc.publisher.placeVishakhapatnam
dc.publisher.universityAndhra University
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered
dc.date.completed2014
dc.date.awarded2015
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics & Communication Engineering

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01_title.pdfAttached File103.98 kBAdobe PDFView/Open
02_prelim pages.pdf272.7 kBAdobe PDFView/Open
03_content.pdf124.58 kBAdobe PDFView/Open
04_abstract.pdf80.68 kBAdobe PDFView/Open
05_chapter 1.pdf1.84 MBAdobe PDFView/Open
06_chapter 2.pdf158.97 kBAdobe PDFView/Open
07_chapter 3.pdf7.29 MBAdobe PDFView/Open
08_chapter 4.pdf2.12 MBAdobe PDFView/Open
09_chapter 5.pdf1.21 MBAdobe PDFView/Open
10_chapter 6.pdf2.22 MBAdobe PDFView/Open
11_annexures.pdf276.4 kBAdobe PDFView/Open
80_recommendation.pdf2.35 MBAdobe PDFView/Open


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