ECG data compression research based on wavelet neural network

This paper raises base-on wavelet neural network algorithm for ECG data compress, as to ECG data compression problem. The method achieved a high compression ratio of ECG data. The algorithm has generalization capability, fast convergence, having multiresolution and adaptive features, special ability to really extract. The results show: wavelet neural network compression algorithm adapts to ECG signal compression, which gets higher CR and less PDR, and ECG signal after restoration keeps the original ECG waveform features.