人体表面肌电信号分析及其在康复医学中的应用

发布时间：2018-03-28 18:37

本文选题：表面肌电信号　切入点：康复医学　出处：《长春大学》2017年硕士论文

【摘要】：人体表面肌电信号(Surface Electromyographic,sEMG)是由肌肉纤维随机活动产生的一种复杂、微弱的生物电信号。它是在肌肉运动收缩的情况下产生的一种电波动,通过神经系统的控制,指挥着人体肌肉的运动。人体表面肌电信号有着非常好的应用前景,在康复医学、假肢控制、康复机器人和运动学等方面具有重要的理论指导作用。通过不断努力,人们基本掌握了表面肌电信号分析方法,但是,要充分的应用在生活中,仍需对表面肌电信号作进一步的研究。本文在重点分析脑卒中患者下肢表面肌电信号和健康者人体上肢表面肌电信号的基础之上,根据实验数据作相关的分析和处理,详细论述人体表面肌电信号在康复医学中的应用。首先,采集脑卒中患者下肢腓肠肌和腓骨长肌的表面肌电信号,通过对平均功率频率(mean power frequency,MPF)、中位频率(median frequency,MF)、平均肌电(average electromyographic,AEMG)和积分肌电(integrated electromyographic,IEMG)的数据分析,得出的结论可以有效的制定脑卒中患者的康复训练方案,为患者早日恢复健康起到重要的理论指导作用。其次,采集日常生活活动中健康者人体上肢三角肌前部、肱二头肌、尺侧腕屈肌和指屈肌的表面肌电信号,通过平均肌电(average electromyographic,AEMG)和积分肌电(integrated electromyographic,IEMG)的数据分析结果,可以预防老年人相关疾病的发生。最后,综合论述人体表面肌电信号在康复医学中的重要作用,通过表面肌电信号控制假肢运动,可以减小患者对假肢控制的难度和不舒适度。通过对人体日常生活中肌肉功能状态的研究,可以为老年人的医疗诊断,残疾人的康复训练做出正确的判断,选择出相对较好的治疗方案。
[Abstract]:The surface electromyography (EMG) is a kind of complex, weak bioelectrical signal generated by random activity of muscle fibers. It is a kind of electric wave produced under the condition of muscle movement and contraction, which is controlled by the nervous system. Command the movement of human muscles. EMG signals on the human surface have a very good application prospects, in rehabilitation medicine, prosthetic control, rehabilitation robot and kinematics and other important theoretical guidance. People have basically mastered the method of surface electromyography analysis, but they should be fully applied in daily life. It is necessary to further study the surface electromyography. Based on the analysis of the surface electromyography of the lower extremities of stroke patients and the upper extremities of healthy people, this paper makes the related analysis and processing according to the experimental data. The application of human surface electromyography in rehabilitation medicine is discussed in detail. Firstly, the surface myoelectric signals of gastrocnemius and peroneus longus of lower extremities in stroke patients are collected. By analyzing the data of mean power frequency, median frequency, average electromyography (AEMG) and integrated electromyography (IEMG), the conclusion can be drawn that the rehabilitation training scheme of stroke patients can be established effectively. Secondly, the surface electromyography of the deltoid muscle, biceps brachii, flexor Carpi ulnaris and flexor digitorum were collected from healthy people in daily life. Through the data analysis of the average electromyography (AEMG) and the integrated electromyography (IEMG), the occurrence of related diseases in the elderly can be prevented. Finally, the important role of human surface electromyography signal in rehabilitation medicine is discussed. The difficulty and uncomfortableness of artificial limb control can be reduced by controlling prosthetic limb motion by surface EMG signal. Through the study of muscle function state in human daily life, it can be used as medical diagnosis for the elderly. The rehabilitation training of the disabled makes correct judgment and chooses a relatively good treatment plan.
【学位授予单位】：长春大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R496

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