摘要
表面肌电信号(surface electromyography,sEMG)是人体的易于检测的神经信号,其富含大量人体运动信息。利用肌电信号作为输入信号,结合相关生物学模型分析肌电信号同肌肉力和对应关节力矩之间的关系,对于深入理解分析人体动力学具有重要意义。本文详细归纳总结了利用肌电信号求解人体关节力矩方法的研究成果,同时介绍神经肌肉骨骼模型的计算及优化过程,给出部分模型生理参数为之后的研究提供参照,并给出现阶段该方法在人体关节力矩求解中的应用。通过分析该求解过程中所面临的一些问题,总结出该方法的发展展望,为之后的研究提供参考。
Surface electromyography is a neuronal signal of the human body that is easily detected.It extensively provides information about human motion.For a deeper understanding of human body dynamics,the use of electromyographic signals and biological models to examine the relationship between myoelectric signals and muscle forces or corresponding joint torques,is of great importance.This paper summarizes:the research results of solving human joint torque using electromyography signals;introduces the process of measuring and optimizing the neuromusculoskeletal model;gives some model physiological parameters to provide reference for future research;and provides application of the method in solving human joint torque in the current stage.Some of the problems encountered in the solution process are then evaluated,and the development prospect of the method is summarized,providing a reference for future research.
作者
姜峰
尹逊锋
衣淳植
杨炽夫
JIANG Feng;YIN Xunfeng;YI Chunzhi;YANG Chifu(College of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China;School of Mechatronics Engineering,Harbin Institute of Technology,Harbin 150001,China)
出处
《智能系统学报》
CSCD
北大核心
2020年第2期193-203,共11页
CAAI Transactions on Intelligent Systems
基金
国家重点研发计划项目(2018YFC0806800,2018YFC0832105)。
关键词
表面肌电信号
神经激活
信号处理
肌肉激活
肌肉骨骼模型
关节力矩
关节动力学
参数辨识
surface electromyography
neural activation
signal processing
muscle activation
musculoskeletal model
joint moment
joint dynamics
parameter identification
