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Ecg Data Compression

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IJCA Proceedings on National Conference on Electronics and Communication
© 2015 by IJCA Journal
NCEC 2015 - Number 2
Year of Publication: 2015
Authors:
Swati More
Kalpana Vanjerkhede
Channappa Bhyri

Swati More, Kalpana Vanjerkhede and Channappa Bhyri. Article: Ecg Data Compression. IJCA Proceedings on National Conference on Electronics and Communication NCEC 2015(2):1-6, December 2015. Full text available. BibTeX

@article{key:article,
	author = {Swati More and Kalpana Vanjerkhede and Channappa Bhyri},
	title = {Article: Ecg Data Compression},
	journal = {IJCA Proceedings on National Conference on Electronics and Communication},
	year = {2015},
	volume = {NCEC 2015},
	number = {2},
	pages = {1-6},
	month = {December},
	note = {Full text available}
}

Abstract

Electrocardiogram (ECG) signal play important role in diagnosis and analysis of heart diseases. For effective detection and diagnosis of cardiac diseases, the ECG data are continuously recorded, stored and transmitted. But long-term continuous monitoring generates large amount of data which becomes difficult for storage as well as for transmission. Therefore a efficient ECG data compression algorithm is needed that gives better compression ratio and less loss of data in reconstructed signal. This paper presents a wavelet transform and turning point algorithm based ECG data compression. The data is taken from physionet and implemented using discrete wavelet i. e daubechies (db7) wavelet. Then energy packing efficiency of wavelet coefficients is found and then turning point algorithm is applied to the wavelet coefficients to get compressed form of data and reconstruction is done using inverse wavelet transform. These steps are implemented in MATLAB.

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