Improved Parametric Models and DPCM Techniques for ECG Data Compression

Madhukar, Budagavi and Patnaik, LM and Murthy, ISN (1992) Improved Parametric Models and DPCM Techniques for ECG Data Compression. In: Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, 1992, 29th October-1st November, Paris,France, Vol.2, 612-613.

Preview

PDF 21.pdf Download (219kB)

Abstract

This paper presents a novel algorithm for compression of single lead Electrocardiogram (ECG) signals. The method is based on Pole-Zero modelling of the Discrete Cosine transformed (DCT) signal. An extension is proposed to the well known Steiglitz-Mcbride algorithm, to wdel the higher frequency components of the input signal more accurately. This is achieved by weighting the error function minimized by the algorithm to estimate the mode1 parameters. The data compression achieved by the parametric wdel is further enhanced by Differential Pulse Code Modulation (DPCM) of the model parameters. The method accomplishes a compression ratio in the range of 1:20 to 1:40, which far exceeds those achieved by most of the current methods.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Department/Centre:	Division of Electrical Sciences > Electrical Engineering Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	26 Sep 2006
Last Modified:	19 Sep 2010 04:27
URI:	http://eprints.iisc.ac.in/id/eprint/6910

Actions (login required)

View Item