An adaptive compression algorithm for ECG signals

This paper presents a compression algorithm based on wavelets for electrocardiograms. Subband coding, an important feature of wavelet transforms, is exploited for the proposed method in order to enhance the compression ratio. The algorithm can be regarded as an adaptive one because several threshold levels are applied on the same signal. The results are accurate and the proposed compression system can be used to design a real-time remote monitoring system of the patient.