A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy Coding
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Guaranteeing ECG signal quality in wavelet lossy compression methods is essential for clinical acceptability of reconstructed signals. In this paper, we present a simple and efficient method for guaranteeing reconstruction quality measured using the new distortion index wavelet weighted PRD (WWPRD), which reflects in a more accurate way the real clinical distortion of the compressed signal. The method is based on the wavelet transform and its subsequent coding using the set partitioning in hierarchical trees (SPIHT) algorithm. By thresholding the WWPRD in the wavelet transform domain, a very precise reconstruction error can be achieved thus enabling to obtain clinically useful reconstructed signals. Because of its computational efficiency, the method is suitable to work in a real-time operation, thus being very useful for real-time telecardiology systems. The method is extensively tested using two different ECG databases. Results led to an excellent conclusion: the method controls the quality in a very accurate way not only in mean value but also with a low-standard deviation. The effects of ECG baseline wandering as well as noise in compression are also discussed. Baseline wandering provokes negative effects when using WWPRD index to guarantee quality because this index is normalized by the signal energy. Therefore, it is better to remove it before compression. On the other hand, noise causes an increase in signal energy provoking an artificial increase of the coded signal bit rate. Clinical validation by cardiologists showed that a WWPRD value of 10 Open image in new window preserves the signal quality and thus they recommend this value to be used in the compression system.
KeywordsSignal Quality Reconstruction Error Reconstructed Signal Reconstruction Quality Compression System
- 4.Olmos S, Millán M, García J, Laguna P: ECG data compression with the Karhunen-Loève transform. Proceedings of Computers in Cardiology, September 1996, Indianapolis, Ind, USA 253-256.Google Scholar
- 12.Moody GB, Mark RG: The MIT-BIH arrhythmia database on CD-ROM and software for use with it. Proceedings of Computers in Cardiology, September 1990, Chicago, Ill, USA 185-188.Google Scholar
- 13.Moody GB, Mark RG, Goldberger AL: Evaluation of the 'TRIM' ECG data compressor. Proceedings of Computers in Cardiology, September 1988, Washington, DC, USA 167-170.Google Scholar
- 14.Sörnmo L, Laguna P: Biomedical Signal Processing in Cardiac and Neurological Applications. Elsevier, San Diego, Calif, USA; 2005.Google Scholar
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