A Proposed Technique Based on Wavelet Transform for Electrocardiogram Signal Compression

TLDR: The aim here develops an efficient algorithm ECG LC that uses the transform based on wavelet followed by the arithmetic coding (AC) on the residual to achieve high compression ratios compared to other compressing algorithms.

Abstract: An electrocardiogram (ECG) is an electrical record of heart activity. ECG compression is the biggest concern for many applications in the biomedical community. ECG lossless compression (ECG LC) is data recovery for diagnostic and analysis purposes. The aim here develops an efficient algorithm ECG LC. This algorithm uses the transform based on wavelet followed by the arithmetic coding (AC) on the residual. The parameters of performance measurement for the ECG signal such as CR (Compression Ratio), PRD (Percent Root mean square Distortion). The proposed algorithm achieves high compression ratios compared to other compressing algorithms. Outcomes display that this algorithm works well for various kinds of patient recordings and is even able to provide lossless compression for event-related potentials. According the outcomes, the higher CR. The highest CR is obtained is 75.5, and the lowest PRD is obtained is 0.18 according to the patient records that have the highest CR.