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Performance Evaluation of Percent Root Mean Square Difference for ECG Signals Compression.

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Author(s): Fazly Salleh Abas | Rizwan Javaid | Rosli Besar

Journal: Signal Processing : An International Journal
ISSN 1985-2339

Volume: 2;
Issue: 2;
Start page: 1;
Date: 2008;
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Keywords: ECG compression | thresholding | wavelet coding

ABSTRACT
Electrocardiogram (ECG) signal compression is playing a vital role in biomedical applications. The signal compression is meant for detection and removing the redundant information from the ECG signal. Wavelet transform methods are very powerful tools for signal and image compression and decompression. This paper deals with the comparative study of ECG signal compression using preprocessing and without preprocessing approach on the ECG data. The performance and efficiency results are presented in terms of percent root mean square difference (PRD). Finally, the new PRD technique has been proposed for performance measurement and compared with the existing PRD technique; which has shown that proposed new PRD technique achieved minimum value of PRD with improved results.

Tango Jona
Tangokurs Rapperswil-Jona

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