Title: Computational efficient method for ECG signal compression based on modified SPIHT technique

Authors: Ranjeet Kumar; A. Kumar; G. Akhil; A. Singh; S.N.H. Jafri

Addresses: PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur, Jabalpur 482005, Madhya Pradesh, India ' PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur, Jabalpur 482005, Madhya Pradesh, India ' PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur, Jabalpur 482005, Madhya Pradesh, India ' PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur, Jabalpur 482005, Madhya Pradesh, India ' PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur, Jabalpur 482005, Madhya Pradesh, India

Abstract: In this paper, an improved method for electrocardiogram (ECG) signal compression using Set Partitioning in Hierarchical Trees (SPIHT) algorithm is proposed. ECG signals are compressed based on different transform such as discrete cosine transform and discrete wavelet transform with modified SPIHT. The modified SPIHT algorithm yields good compression with controlled quantity of signal degradation and requires computational time as compared to earlier published SPIHT algorithms. The proposed algorithm is suitable for the ECG signal compression for telemedicine or e-health system due to minimum computational time.

Keywords: ECG compression; DCT; discrete cosine transform; DWT; discrete wavelet transform; modified SPIHT; compression ratio; electrocardiograms; ECG signals; telemedicine; e-health; electronic healthcare.

DOI: 10.1504/IJBET.2014.062746

International Journal of Biomedical Engineering and Technology, 2014 Vol.15 No.2, pp.173 - 188

Received: 03 Feb 2014
Accepted: 16 May 2014

Published online: 21 Oct 2014 *

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