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利用神经网络估计针电极肌电信号的AR模型参数和功率谱
引用本文:杨基海,陈香,娄智,钟展辉,周平. 利用神经网络估计针电极肌电信号的AR模型参数和功率谱[J]. 北京生物医学工程, 2000, 19(2): 70-74
作者姓名:杨基海  陈香  娄智  钟展辉  周平
作者单位:中国科学技术大学电子科学与技术系,合肥,230026
摘    要:本文介绍利用隐层神经元为线性传递函数拓层人工神经网络对针电极肌电信号(NEMG)的AR模型参数和功率谱进行估计的方法,实验结果显示,由神经网络法估计的NEMG信号AR模型参数和功率谱与自相关法基本一致,表明了这种方法的有效性。

关 键 词:人工神经网络  针电极肌电信号  自回归模型  功率谱

Estimation of the Coefficients of the AR Model and PDS of NEMG Signal Using ANN
Yang Jihai,Chen Xiang,Lou Zhi,Zhong Zhanhui,Zhou Ping. Estimation of the Coefficients of the AR Model and PDS of NEMG Signal Using ANN[J]. Beijing Biomedical Engineering, 2000, 19(2): 70-74
Authors:Yang Jihai  Chen Xiang  Lou Zhi  Zhong Zhanhui  Zhou Ping
Abstract:In this paper a method of estimating the coefficients of the AR model and power density spectrum(PDS) of NEMG signal by using a three layer artificial neural network(ANN), in which the transfer function of hidden units is linear, is introduced.Experiment results show that coefficients of the AR model and PDS of NEMG derived from either ANN and auto correlation method are very similar to each other. It indicates that the method introduced in this paper works well.
Keywords:Artificial neural network   NEMG   AR model  PDS
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