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Reseach Article

ECG Signal Analysis

Published on December 2015 by Kanchan Malge, Kalpana Vanjerkhede, Channappa Bhyri
National Conference on Electronics and Communication
Foundation of Computer Science USA
NCEC2015 - Number 1
December 2015
Authors: Kanchan Malge, Kalpana Vanjerkhede, Channappa Bhyri
ccef9e30-54fc-43b8-8f89-88c7a18a6e17

Kanchan Malge, Kalpana Vanjerkhede, Channappa Bhyri . ECG Signal Analysis. National Conference on Electronics and Communication. NCEC2015, 1 (December 2015), 21-25.

@article{
author = { Kanchan Malge, Kalpana Vanjerkhede, Channappa Bhyri },
title = { ECG Signal Analysis },
journal = { National Conference on Electronics and Communication },
issue_date = { December 2015 },
volume = { NCEC2015 },
number = { 1 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 21-25 },
numpages = 5,
url = { /proceedings/ncec2015/number1/23712-1741/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Electronics and Communication
%A Kanchan Malge
%A Kalpana Vanjerkhede
%A Channappa Bhyri
%T ECG Signal Analysis
%J National Conference on Electronics and Communication
%@ 0975-8887
%V NCEC2015
%N 1
%P 21-25
%D 2015
%I International Journal of Computer Applications
Abstract

Electrocardiogram (ECG or EKG) is basically a diagnostic tool that measures and records the electrical signal by comparing the activity of heart. Electrocardiogram has significant importance since it reveals important information about various disorders . The purpose of this work is to extract R-wave and find heart rate using LabVIEW. In this work an algorithm has been developed for the detection of R-wave, which is based on array subset and array min and max method using LabVIEW. LabVIEW (laboratory virtual instrument engineering workbench) is a graphical programming language that uses icons instead of lines of text to create programs. The work is executed in four stages. Firstly data acquisition, secondly it denoises the signal to remove the noise from the ECG signal, thirdly it detects the R-wave and lastly analysis is done by calculating heart rate. LabVIEW and the related toolkit i. e. , Advanced signal processing toolkit is used to build the graphical programme . ECG data are acquired from the subjects which includes 5000 samples recorded at a sampling frequency of 1000Hz.

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Index Terms

Computer Science
Information Sciences

Keywords

Ecg Signal Labview Wavelet Denoise Wa Detrend Array Min & Max Array Subset. 1. Introduction