First results on new modeling-based ECG data compression methods

This paper deals with electrocardiogram data compression. This problem is of great importance within the frame of telemedicine. For example, there is an increasing demand in medicine to achieve patient health care directly from the office of the specialist. The aim of this study is to investigate several kinds of compression methods applied to ECG signals. All presented methods are based on an implicit modeling of ECG signals: two on linear prediction, one on the continuous wavelet transform, which constitutes a new modeling and compression approach. Each method is briefly discussed and experimental results are presented, in terms of signal to noise ratio and compression ratio