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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 103.98 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 272.7 kB | Adobe PDF | View/Open | |
03_content.pdf | 124.58 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 80.68 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.84 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 158.97 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 7.29 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 2.12 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.21 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 2.22 MB | Adobe PDF | View/Open | |
11_annexures.pdf | 276.4 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.35 MB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: