A simple method for guaranteeing ECG quality in real-time wavelet lossy coding
EURASIP Journal on Applied Signal Processing
Lossless compression schemes for ECG signals using neural network predictors
EURASIP Journal on Applied Signal Processing
A linear quality control design for high efficient wavelet-based ECG data compression
Computer Methods and Programs in Biomedicine
Automated cardiac event change detection for continuous remote patient monitoring devices
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
Quality-driven wavelet based PCG signal coding for wireless cardiac patient monitoring
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
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Electrocardiograph (ECG) compression techniques are gaining momentum due to the huge database requirements and wide band communication channels needed to maintain high quality ECG transmission. Advances in computer software and hardware enable the birth of new techniques in ECG compression, aiming at high compression rates. In general, most of the introduced ECG compression techniques depend on their evaluation performance on either inaccurate measures or measures targeting random behavior of error. In this paper, a new wavelet-based quality measure is proposed. A new wavelet-based quality measure is proposed. The new approach is based on decomposing the segment of interest into frequency bands where a weighted score is given to the band depending on its dynamic range and its diagnostic significance. A performance evaluation of the measure is conducted quantitatively and qualitatively. Comparative results with existing quality measures show that the new measure is insensitive to error variation, is accurate, and correlates very well with subjective tests