Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/471524
Title: Performance Evaluation of ECG Signal for Prediction and Classification of Cardiac Arrhythmia Using Computational Intelligence Techniques
Researcher: V Sesha Ratna Kumari
Guide(s): P Rajesh Kumar
Keywords: Engineering
Engineering and Technology
Engineering Electrical and Electronic
University: Andhra University
Completed Date: 2014
Abstract: quotAny 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
Pagination: 181 pg
URI: http://hdl.handle.net/10603/471524
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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