肌电图检测康复过程中痉挛患者疲劳程度的分析

Abdul Malik Mohd Ali, M. Reyasudin Basir Khan, Azuddin
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摘要

痉挛是骨骼肌功能改变与肌腱反射活动约束的特征。如果没有高端的测量系统,很难测量痉挛患者的疲劳程度。本研究旨在评估痉挛机械臂和表面肌电图(sEMG)在脑卒中患者康复过程中手臂-手技能观察和测量的有效性。结果将提供标准和条件的概述,在临床实践中实施的技术。本研究基于痉挛机械臂(SRA)和关节肌电信号频谱和振幅分析(JASA)测量的局部肌肉自愿来评估痉挛患者的疲劳水平。数据信号转换为频谱和中频评估疲劳,实时记录各运动单元非植入体表面肌电图。分析JASA方法能够显示多度运动范围内的疲劳程度。采样数据信号与机器人治疗相结合,克服了康复过程中过度运动或缺乏训练的问题。SRA的五个轴可以帮助治疗进行多度旋转,具有强健的屈-伸和外展-内收旋转。在中频(MDF)中,RSA和LSA的幅频相对ROM的精度为32.81±45.341转,精度为93.9%。在MDF中,RSA和LSA运动学ROM之间的影响为0.6875±9.0401,每次评估之间的准确率为95%。旋转和移动能够克服痉挛患者的运动范围的困难,因为中风。采用无创肌表肌电信号(SENIAM)评估Fugl-Meyer评估(FMA)来指导主动-被动辅助运动。以8名男性受试者和8名女性受试者为对象,对疲劳检测方法进行了评价。在运动过程中,95%的RSA和75%的LSA患者由于肌肉无法承受来自SRA机器人的力而感到疲劳。工作的成功证明了JASA方法和SRA机器人治疗能够帮助确定痉挛患者的疲劳程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Spasticity Patient by Using sEMG to detect Fatigue Level During Rehabilitation
Spasticity is a feature of altered skeletal muscle performance with the constraint of tendon reflex activity. The level of fatigue in spastic patients is difficult to be measured without a high-end measurement system. This work aims to evaluate the effectiveness of spasticity robotic arms robot and surface Electromyogram (sEMG) on the observation and measurement of the arms-hand skill in stroke patients during rehabilitation. The result will provide an overview of criteria and conditions for the implementation of the technology in clinical practice. This study assesses the fatigue level among spasticity patients based on the localized muscle voluntary of the patient measured using the spasticity robotic arms (SRA) and Joint Analysis of EMG Spectrum and Amplitude (JASA). The data signal was changed to spectrum and medium frequency to evaluate the fatigue where the non-implant surface electromyogram was recorded in each motor unit in real-time. The analysis JASA method able to shows the level of fatigue in a multi-degree range of motion. The sampling data signal was integrated with therobotic therapy to overcome the over-exercise or lack of training during rehabilitation. The five axes of SRA can assist the therapy to perform in multi-degree rotation with the robust flexion-extension and abduction-adduction rotations. The accuracy between RSA and LSA is 0.003 ± 0.0910 of amplitude frequency against ROM. Further investigation in Medium Frequency (MDF) is 32.81 ± 45.341 revolution between RSA and LSA is 93.9% accuracy. The effect between RSA and LSA kinematic ROM is 0.6875 ± 9.0401accuracy in 95% between each assessment in MDF. The revolute and prismatic motion was able to overcome the difficulty of spasticity patient range of motion because of stroke. The Surface EMG for non-invasive assessment of muscles (SENIAM) assessment Fugl-Meyer Assessment (FMA) is used to guide the active-passive assisted motion. The fatigue detection method was evaluated based on eight male and eight female subjects. The process of the exercise made the patient fatigue because due to the muscle unable to carry the burden of the force from the SRA robot in 95% cases for RSA and 75% in LSA. The success of work proves the JASA method and SRA robot therapy able to assist to determine the level of fatigue among spasticity patients.
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