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Performance Evaluation of Percent Root Mean Square Difference for ECG Signals Compression.
Rizwan Javaid, Rosli Besar, Fazly Salleh Abas
Pages - 1 - 9     |    Revised - 15-04-2008     |    Published - 30-04-2008
Volume - 2   Issue - 2    |    Publication Date - April 2008  Table of Contents
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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.
CITED BY (11)  
1 Rohoden Jaramillo, K., & Ludeña Gonzalez, P. (2015, June). Heart sounds compression through wavelet transform coding. In Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on (pp. 1-5). IEEE.
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7 Pierre, E., Pascal, N. E., & Emmanuel, T. (2011). Characterization of the Modified Lifting Scheme Compression Method of EMG Signals. Journal of Communication and Computer, 8(11), 1013-1021.
8 Abo-Zahhad, M., Ahmed, S. M., & Zakaria, A. (2011). ECG signal compression technique based on discrete wavelet transform and QRS-complex estimation. Signal Processing–An International Journal (SPIJ), 4(2), 138.
9 Abo-Zahhad, M., Ahmed, S. M., & Narwaria, R. P., Verma, S., & Singhal, P. K. (2011). Removal of baseline wander and power line interference from ECG signal-a survey approach. International Journal of Electronics Engineering, 3(1).
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Mr. Rizwan Javaid
Multimedia University,Jalan Ayer Keroh Lama - Malaysia
rizwan.javaid@mmu.edu.my
Mr. Rosli Besar
Faculty of Engineering and Technology, Multimedia University - Malaysia
Mr. Fazly Salleh Abas
Faculty of Engineering and Technology,Multimedia University - Malaysia