基于sEMG的手指康复治疗的信号处理研究

Signal Processing of Finger Rehabilitation Therapy Based on sEMG

手指功能在日常生活中特别重要,特别是在一些需要抓取和一些较为精细的动作中,对日常生活质量有着不可忽视的影响。而目前临床针对手指功能康复的治疗模式主要采用辅助设备康复,而这种模式又较为枯燥。提出了一种通过采集表面肌电信号(sEMG)的方式,使得手指功能受损的患者可以脱离现有比较枯燥的治疗方式,同时也更有利于患者其他功能例如神经系统功能的恢复。采用肌电信号公开数据集,对原始肌电信号做相关的预处理,同时采用matlab仿真的方式验证预处理的正确性;并通过临床实验采集患者肌电信号的方式验证使用目前的肌电传感器对运动意图分析的可行性。

Finger function is particularly important in daily life,especially in some grasping and some fine movements,which has a non-negligible impact on the quality of daily life.Currently,the clinical treatment model for finger function rehabilitation mainly relies on auxiliary device rehabilitation,which can be rather monotonous.This article proposes a method to collect surface electromyography signals(sEMG)to enable patients with impaired finger function to be freed from the existing boring treatment methods,and at the same time,it is more conducive to the recovery of other functions such as nervous system function.The public dataset of EMG signals was used to preprocess the original EMG signals,and the correctness of the preprocessing was verified by MATLAB simulation.The feasibility of using the current EMG sensor for motor intention analysis was verified by collecting the patient’s EMG signals in clinical experiments.