New Ecg Signal Compression Model Based on Set Theory Applied to Images

Cardiovascular diseases are the origin of many causes death worldwide. They impose on practitioners optimal diagnostic methods such as telemedicine in order to be able quickly detect anomalies for daily care and monitoring patients. The Electrocardiogram (ECG) is an examination that can abnormal functioning heart generates a large number digital data which stored or transmitted further analysis. For storage transmission purposes, one challenges reduce space occupied by ECG signal that, it important offer more efficient algorithms capable achieving high compression rates, while offering good quality reconstruction relatively short time. We propose this paper new scheme based subset splitting 2D processing, wavelet transform (DWT) SPIHT coding has proved their worth field processing compression. exploited decorrelation signal. results obtained significant perspectives.