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表面肌电信号的下肢痉挛信号的特征分析与识别
引用本文:刘建,邹任玲,姜亚斌,徐秀林,胡秀枋.表面肌电信号的下肢痉挛信号的特征分析与识别[J].生物信息学,2017,15(3):186-190.
作者姓名:刘建  邹任玲  姜亚斌  徐秀林  胡秀枋
作者单位:上海理工大学 医疗器械与食品学院, 上海 200093,上海理工大学 医疗器械与食品学院, 上海 200093,上海理工大学 医疗器械与食品学院, 上海 200093,上海理工大学 医疗器械与食品学院, 上海 200093,上海理工大学 医疗器械与食品学院, 上海 200093
基金项目:上海市科学技术委员会科研计划项目(14441905100).
摘    要:脑卒中患者康复治疗中会引起下肢肌肉痉挛,这种现象给患者的康复训练过程带来极大的危害,因此能够在训练过程中识别痉挛并及时中断训练具有重要的实际意义。本研究通对下肢表面肌电信号的采集,采用基于形状的模版匹配法来识别痉挛信号,并以皮尔逊相关系数来分析表征下肢痉挛信号的相关性大小。分析结果表明,通过仿真验证了模版匹配法在个人痉挛信号识别中的准确性,显示了在泛用痉挛信号识别中的可行性。

关 键 词:表面肌电信号  下肢痉挛信号  模板匹配法  皮尔逊相关系数
收稿时间:2016/7/5 0:00:00
修稿时间:2016/10/6 0:00:00

Feature analysis and recognition of lower limb spasm signal based on surface EMG signal
LIU Jian,ZOU Renling,JIANG Yabin,XU Xiulin and HU Xiufang.Feature analysis and recognition of lower limb spasm signal based on surface EMG signal[J].China Journal of Bioinformation,2017,15(3):186-190.
Authors:LIU Jian  ZOU Renling  JIANG Yabin  XU Xiulin and HU Xiufang
Institution:School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China and School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:Rehabilitation treatment of patients with cerebral stroke can cause muscle cramp of lower limbs. This phenomenon will do great harm to the process of rehabilitation training for patients, so it plays an important role in the training process to identify muscle cramp and interrupt training in time. The shape of the template matching method is used to identify spasm signal, and the Pearson correlation coefficient was used to achieve surface electromyography of lower limbs spasm signal template matching analysis. Simulation results demenstrated the accuracy of template matching method in the identification of individual spasm signals,and showed the feasibility of the algorithm in the identification of the pan.
Keywords:
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