Choosing Method of Wavelet Neuron Based on ECG Data Compression
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    Abstract:

    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.

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郭巧惠 杨永明 古良玲.一种基于心电数据压缩的小波元选择方法[J].重庆大学学报,2006,29(10):20~

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  • Received:June 10,2006
  • Revised:June 10,2006
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