表面肌电信号分析与实时系统构建

发布时间：2018-10-24 10:13

【摘要】：表面肌电信号是由人体肌肉活动所引起的一种生理电信号。当人体进行相同的动作时,其相关肌群处的表面肌电信号呈现出一种可重复的固有模式。因此,通过对表面肌电信号进行分析,可以获得其中蕴含的与肌肉活动相关的特征。本课题是围绕着构建基于表面肌电信号的实时控制系统这个目的逐步展开的,主要解决了表面肌电信号特征如何提取、控制命令如何获取以及实时系统如何构建等问题。首先,对实验环境下采集到的表面肌电信号进行分析,利用短时傅立叶变换提取了左右肩膀和左右小腿处肌群的收缩状态的特征作为控制命令,同时考虑了惯用手的个体差异以及心电干扰等因素对肌电特征的影响。所提出的基于左右肩膀和左右小腿处肌群的收缩状态的控制命令提取方法准确率高,处理速率快,能够较好地反映肌肉活动的状态。其次,结合实际的实验条件,构建了一个生物电信号实时处理平台。该平台集成了数据采集,数据分析和控制命令提取等功能模块,能够适用于肌电等各类生物电信号的实时分析和控制。最后,在肌电信号分析方法和实时平台的研究基础上,实现了基于表面肌电信号的光标实时控制系统。该系统操作简单且容易上手,实时性能良好,控制命令转换的准确率高。此外,分析了肌电信号与运动意图的关联,对人体上肢肩、肘关节运动意图判定开展了研究。通过对表面肌电信号进行分析,实现了人体上肢的实时运动意图实时提取。能够为辅助手臂装置的运动控制提供新的控制模式,有应用价值。
[Abstract]:Surface electromyography (EMG) is a physiological signal caused by human muscle activity. When the human body performs the same action, the surface electromyography of the associated muscle group presents a repeatable and inherent pattern. Therefore, the features associated with muscle activity can be obtained by analyzing surface EMG signals. The purpose of this paper is to construct a real-time control system based on surface electromyography (EMG), which mainly solves the problems of how to extract the features of SEMG, how to obtain the control command and how to construct the real-time system. Firstly, the surface EMG signals collected in the experimental environment are analyzed, and the characteristics of the contraction state of the left and right shoulders and the left and right calves are extracted by using the short time Fourier transform (STFT) as the control command. At the same time, the influence of individual differences and ECG interference on EMG characteristics was considered. The proposed control command extraction method based on the contractile state of the left and right shoulders and the left and right calf muscles has high accuracy and fast processing rate, which can better reflect the state of muscle activity. Secondly, a real-time bioelectric signal processing platform is constructed. The platform integrates function modules such as data acquisition, data analysis and command extraction, and can be used for real-time analysis and control of bioelectric signals such as electromyography. Finally, based on the research of EMG signal analysis method and real-time platform, a real-time cursor control system based on surface EMG signal is implemented. The system is easy to operate and easy to use. It has good real-time performance and high control command conversion accuracy. In addition, the relationship between EMG signal and motion intention is analyzed, and the determination of motion intention of human upper limb, shoulder and elbow joint is studied. By analyzing the surface electromyography (EMG) signal, the real-time motion intention of human upper limb can be extracted in real time. It can provide a new control mode for the motion control of the auxiliary arm device and has application value.
【学位授予单位】：华东理工大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TN911.6;R318.0

【引证文献】