Pre-processing deconvolution based technique for improving the performances of ECG codecs: Comparison to SPIHT

Authors:
Lina El Khansa;Amine Nait-Ali;Mohamad Khalil
Affiliations:
Université Paris XII---Val de Marne, 61, Avenue du Général de Gaulle, Créteil, France;Université Paris XII---Val de Marne, 61, Avenue du Général de Gaulle, Créteil, France;Université Paris XII---Val de Marne, 61, Avenue du Général de Gaulle, Créteil, France
Venue:
Digital Signal Processing
Year:
2008

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Abstract

In this paper, a deconvolution preprocessing module for ECG codec performance improvement (DPM-ECPI) is presented. The idea is simple but efficient. Primary, it consists in transforming an ECG signal to an impulsional one using a deconvolution process. The obtained signal is then encoded for either transmission or storage. In this work we take into consideration the well known SPIHT algorithm, used also for efficient comparison purpose. To reconstruct the signal, a simple convolution is however applied to the decoded impulsional signal. For high compression ratios, we show that this new compression scheme is particularly interesting than a direct coding. As it is common, real signals from MIT-BIH arrhythmia database have been used to validate the proposed scheme.