| 杜明家,胡保华,肖飞云,刘正士,王 勇.基于经验模态分解的牵张反射起始点检测研究[J].电子测量与仪器学报,2020,34(4):27-32 |
| 基于经验模态分解的牵张反射起始点检测研究 |
| Stretch reflex onset detection based on empirical mode decomposition |
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| DOI： |
| 中文关键词: 痉挛状态 牵张反射起始点 表面肌电信号 经验模态分解
中图分类号: TN06 R318. 04 文献标识码:A 国家标准学科 |
| 英文关键词:spasticity stretch reflex onset surface electromyography empirical mode decomposition |
| 基金项目:国家自然科学基金(U1713210)资助项目 |
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| 摘要点击次数: 755 |
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| 中文摘要: |
| 针对痉挛状态患者表面肌电信号易出现虚假的肌电峰值，引起牵张反射起始点前后的信号差异变小，提出经验模态分解去噪与改进样本熵识别的牵张反射起始点检测方法。首先用经验模态分解对肌电信号进行分解；然后以受试者静息状态下的表面肌电信号为参考，设定软阈值对分解的信号进行去噪；最后用改进样本熵识别牵张反射起始点。实验结果表明，经验模态分解算法可以有效地去除肌电信号噪声，而且在改进样本熵的最优参数下牵张反射起始点平均识别率为94%。 |
| 英文摘要: |
| In view of the possibility of false peaks on the surface electromyography (sEMG) of patients with spasticity, leading to decreased signal differences before and after stretch reflex onset (SRO), a method for detecting SRO based on empirical mode decomposition (EMD) denoising and modified sample entropy recognition is proposed. First, the EMG signal is decomposed via EMD. Then, the soft threshold is set to denoise the decomposed signal on the basis of the sEMG signal of the subjects in resting state. Lastly, modified sample entropy is used to identify SRO. The experimental results show that the EMD algorithm can effectively remove noise from the EMG signal, and the average recognition rate of SRO under the optimal parameter of the modified sample entropy is 94%. |
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