Key result
Hybrid MDCT and DWT ECG compression yields ~6% average PRD, rivaling state-of-the-art compressors.
A novel hybrid MDCT and DWT ECG signal compression method provides high compression ratios with low error, suitable for monitoring and diagnostic applications.
May support efficient remote ECG monitoring; leaves open prospective validation of diagnostic equivalence.
A new hybrid two-stage electrocardiogram (ECG) signals compression method based on the Modified Discrete Cosine Transform (MDCT) and Discrete Wavelet Transform (DWT) is proposed. The ECG signal is partitioned in blocks and the MDCT is applied to each block to decorrelate the spectral information. Then, the DWT is applied to each MDCT block of the signal. Removing spectral redundancy is achieved by compressing the subordinate components more than the dominant components. The resulting wavelet coefficients are then threshold and compressed using energy packing and binary-significant map coding technique for storage space saving. Experimenting on an ECG records from the MIT-BIH database is performed with various combinations of the MDCT and wavelet filters at different transformation levels, and quantization intervals. The decompressed signals are evaluated using percentage root mean square error (PRD) and zero-mean root mean square error (PRD1) measures. The results showed that the proposed method provides low bit-rate and high quality of the reconstructed signal. It offers a compressed ratio (CR) in between 12.6 and 21.5 average PRD of 5.89%, which would be suitable for most monitoring and diagnoses applications. Experiments with ECG signals used in results from the literature showed that the proposed method compares favorably with various state-of-the-art ECG compressors.
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Sabah M. Ahmed (2006) studied ECG signal compression. Hybrid two-stage ECG signal compression method based on MDCT and DWT vs. State-of-the-art ECG compressors was evaluated on Compressed ratio (CR) and percentage root mean square error (PRD). A hybrid ECG signal compression method using MDCT and DWT achieved a compressed ratio between 12.6 and 21.5 with an average PRD of 5.89%, comparing favorably with state-of-the-art compressors.
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