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ECG Signal Compression Implementation by a New 2-Dimensional Transform Technique

Author(s): Pushpendra Singh | Om Prakash Yadav | Yojana Yadav

Journal: International Journal of Engineering and Advanced Technology
ISSN 2249-8958

Volume: 1;
Issue: 6;
Start page: 137;
Date: 2012;
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Keywords: Compression Ratio | Compression factor | Compression time | ECG | PRD.

Electrocardiogram signal compression algorithm is needed to reduce the amount of data to be transmitted, stored and analyzed, without losing the clinical information content. This work investigates a set of ECG signal compression schemes to compare their performances in compressing ECG signals. These schemes are based on transform methods such as discrete cosine transform (DCT), fast fourier transform (FFT), discrete sine transform (DST), and their improvements. An improvement of a discrete cosine transform (DCT)-based method for electrocardiogram (ECG) compression is also presented as DCT-II. A comparative study of performance of different transforms is made in terms of Compression Ratio (CR) and Percent root mean square difference (PRD).The appropriate use of a block based DCT associated to a uniform scalar dead zone quantiser and arithmetic coding show very good results, confirming that the proposed strategy exhibits competitive performances compared with the most popular compressors used for ECG compression. Each specific transform is applied to a pre-selected data segment from the CSE database, and then compression is performed.
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