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ECG Signal Analysis

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IJCA Proceedings on National Conference on Electronics and Communication
© 2015 by IJCA Journal
NCEC 2015 - Number 1
Year of Publication: 2015
Authors:
Kanchan Malge
Kalpana Vanjerkhede
Channappa Bhyri

Kanchan Malge, Kalpana Vanjerkhede and Channappa Bhyri. Article: ECG Signal Analysis. IJCA Proceedings on National Conference on Electronics and Communication NCEC 2015(1):21-25, December 2015. Full text available. BibTeX

@article{key:article,
	author = {Kanchan Malge and Kalpana Vanjerkhede and Channappa Bhyri},
	title = {Article: ECG Signal Analysis},
	journal = {IJCA Proceedings on National Conference on Electronics and Communication},
	year = {2015},
	volume = {NCEC 2015},
	number = {1},
	pages = {21-25},
	month = {December},
	note = {Full text available}
}

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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