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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
Estimation of the Coefficients of the AR Model and PDS of NEMG Signal Using ANN
【摘要】 本文介绍利用隐层神经元为线性传递函数的三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
【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.
【基金】 国家自然科学基金! ( 69671 0 2 7)
- 【文献出处】 北京生物医学工程 ,BEIJING BIOMEDICAL ENGINEERING , 编辑部邮箱 ,2000年02期
- 【分类号】R312
- 【被引频次】6
- 【下载频次】104