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.
ECG Compression Algorithm Wavelet neural network
Jin Wang Xiaomei Lin Kebing Wu
Changchun Institute of Technology Kuan Ping Road 395 Changchun, P.R. China The College of Electrical and Electronic Engineering Changchun University of Technology Changchun, P
国际会议
长春
英文
361-363
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）