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《Journal of Chongqing University(Natural Science Edition)》 2006-10
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Choosing Method of Wavelet Neuron Based on ECG Data Compression

GUO Qiao-hui,YANG Yong-ming,GU Liang-ling(Key Laboratory of High Voltage Engineering and Electrical New Technology,Ministry of Education,Electrical Engineering College of Chongqing University,Chongqing 400030,China)  
The paper discusses a wavelet network for the ECG data compression and proposes the method for choosing its wavelet neuron.According to the spectrum range of the ECG data,we decide the time-frequency field of ECG.And the time-frequency field of wavelet is also determined by the spectrum range of it.The wavelet neuron is fixed preliminarily by the first two steps.Then the preliminary wavelet neuron is screened by using OLS algorithm.We choose Morlet as the mother wavelet,and use the ECG signal to validate by the method.The result demonstrates that the number of Morlet whose spectrums locate at the ECG's is up to 152.But after screening by the OLS algorithm,it reduces sharply.This method can make the size of the wavelet network driving to optimum and also reduce the training time of the wavelet network sharply.
【Fund】: 教育部重点实验室资助项目(718411003)
【CateGory Index】: TH772.2
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