| 利用AR模型参数分析损伤神经的针电极肌电信号 |
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| 引用本文： | 秦川,王志中,王刚,马波.利用AR模型参数分析损伤神经的针电极肌电信号[J].生物医学工程学杂志,2004,21(4):636-639. |
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| 作者姓名： | 秦川 王志中 王刚 马波 |
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| 作者单位： | 上海交通大学,生物医学工程系,上海,200030 |
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| 基金项目： | 国家自然科学基金资助项目 ( 60 1710 0 6) |
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| 摘 要： | 影响募集形式的两种主要因素为时间募集和空间募集 ,本文提出了一种利用现代谱分析技术来分析针电极肌电信号募集的方法。通过建立全极点 AR模型 ,利用时 -频谱分析了不同神经不同程度损伤的肌电信号的时间募集减少和空间募集减少。最后提取前臂 NEMG信号的 AR系数并通过 BP神经网络辨识了不同程度损伤的肌电信号 ,取得了良好的实验结果。
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| 关 键 词： | 运动单元 时间募集 空间募集 AR模型 人工神经网络 |
Using AR Model to Analyze Injuried Nerve with Needle EMG Signal |
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| Qin Chuan Wang Zhizhong Wang Gang Ma Bo.Using AR Model to Analyze Injuried Nerve with Needle EMG Signal[J].Journal of Biomedical Engineering,2004,21(4):636-639. |
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| Authors: | Qin Chuan Wang Zhizhong Wang Gang Ma Bo |
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| Institution: | Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030, China. |
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| Abstract: | The two main factors to affect the style of the recruitment are temporal recruitment and spatial recruitment. This study sought a new way to analyze the recruitment with the modern spectrum method. The abnormal spatial recruitment and temporal recruitment of varied injury degrees of intramuscular neuron were compared through the AR model. At last,AR coefficients were extracted and passed through BP artificial neuron network to classify different NEMG signals and good result was gained. |
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| Keywords: | Motor unit Temporal recruitment Spatial recruitment AR model ANN |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
