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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/6900
Title: A Comparative Analysis of Performance of Several Wavelet Based ECG Data Compression Methodologies
Authors: Chandra S.
Sharma, Ambalika
Singh, Girish Kumar
Published in: IRBM
Abstract: Compression of an electrocardiogram (ECG) signal has given much consideration to the researchers since the computer-aided analysis of ECG has come into being. In some critical cases, viz., astronauts, a person under cardiac surveillance, ambulatory patients and in Holter monitoring system, continuous ECG data recording and transmitting from one location to other location is required. However, the size of the recorded data becomes so voluminous, that its transmission of data becomes practically impossible. In this paper, ECG data compression using wavelet-based techniques are presented, such that: a) wavelet packet transform with run-length encoding (RLE), b) wavelet transform with Huffman encoding, c) wavelet transform with RLE and d) wavelet transform and Lempel ZivWelch (LZW). The results have been tested using MIT-BIH (Massachusetts Institute of Technology/Beth Israel Hospital) arrhythmia databases. The performances of these methodologies are examined in the quantitative and qualitative manner. From Tabular results, it can be observed that the methodology based on WT and LZW provides efficient results in terms of compression ratio (CR?=20 to 30) and peak root mean square difference (PRD?=0.01 to 1.8) both, hence the overall QS value is improved. © 2020 AGBM
Citation: IRBM (2020), (): -
URI: https://doi.org/10.1016/j.irbm.2020.05.004
http://repository.iitr.ac.in/handle/123456789/6900
Issue Date: 2020
Publisher: Elsevier Masson SAS
Keywords: Data compression
Electrocardiogram
Encoding
Telemedicine
Vector quantization
Wavelet
ISSN: 19590318
Author Scopus IDs: 57217873874
55482822100
57193351909
Author Affiliations: Chandra', S., Department of Electronics and Communication Engineering, BMSIT & M Bangalore, India
Sharma, A., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India
Singh, G.K., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India
Funding Details: Authors to thank Indian institute of Technology, for their support to carried out this work.
Corresponding Author: Chandra', S.; Department of Electronics and Communication Engineering, BMSIT & M BangaloreIndia; email: chndra.shanti@gmail.com
Appears in Collections:Journal Publications [EE]

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