用二阶伏特拉级数进行肌电分类

The 5th 2012 Biomedical Engineering International Conference Pub Date : 2012-12-01 DOI:10.1109/BMEICON.2012.6465493

P. Pongpanitanont, W. Charoensuk

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引用次数: 4

摘要

本文对肌电分类进行了研究。将肌电分类器应用于假肢的控制。本文提出了一个Volterra级数，我们使用二阶级数来处理肌电信号。在人工神经网络(ANN)模型中，对滤波后的肌电信号和二次Volterra肌电信号进行了比较。结果表明，采用第2 Volterra肌电信号进行分类的准确率高于滤波后的肌电信号。未来的工作是开发肌电分类器的Volterra-Neural networks (V-NN)模型。

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EMG classification using the second order volterra series

This paper studies about electromyography (EMG) classification. The application of EMG classifier is used for prosthetic control. A Volterra series was propose in this works, we used 2nd order series for processing EMG signal. This work had compared between filtered EMG and 2nd Volterra EMG in artificial neural network (ANN) model. The result show the classification with 2nd Volterra EMG has more accuracy than filtered EMG. The future works is to develop the Volterra-Neural networks (V-NN) model for EMG classifier.

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The 5th 2012 Biomedical Engineering International Conference

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