Electromyogram (EMG) Signal Processing Analysis for Clinical Rehabilitation Application

机译：肌电图（EMG）信号处理分析在临床康复中的应用

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摘要

Analysis of electromyogram (EMG) signal processing and its application to identify human muscle strength of rehabilitation purpose has been successfully carried out in this paper. Single channel EMG signal was obtained from human muscle using non-invasive electrodes and further process by signal acquisition circuit to get a suitable signal to be process. In the first part of signal acquisition, the amplification circuit for the small EMG signal has been design successfully. After amplification stage EMG signal was digitized through analogue and digital converter (ADC) then further process in microcontroller (ATmega328) for getting accurate EMG signal. Finally, the processed EMG signal was classified into 6 different levels in order to display the muscle strength level of the user. This EMG device can be used to help the weak person or an elderly to identity their strength level of muscle for clinical rehabilitation purpose.

机译：本文已经成功地进行了肌电图（EMG）信号处理的分析及其在确定人体肌肉康复目的中的应用。使用非侵入性电极从人肌肉获得单通道EMG信号，并通过信号采集电路进行进一步处理以获得合适的信号进行处理。在信号采集的第一部分中，已经成功设计了小肌电信号的放大电路。放大阶段后，通过模拟和数字转换器（ADC）将EMG信号数字化，然后在微控制器（ATmega328）中进行进一步处理以获取准确的EMG信号。最后，将经过处理的EMG信号分为6个不同级别，以显示用户的肌肉强度级别。该EMG设备可用于帮助弱者或老年人识别他们的肌肉力量水平，以进行临床康复。

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来源
《International Conference on Artificial Intelligence, Modelling and Simulation》|2015年|105-110|共6页
会议地点 Sabah(MY)
作者
Ismail Saad; Nur Husna Bais.; Bun Seng C.; Mohd. Zuhir H.; N. Bolong;
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Nano Eng. Mater. (NEMs) Res.Group Univ. Malaysia Sabah Kota Kinabalu Malaysia;

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关键词
Electromyography; Muscles; Low-pass filters; Rectifiers; Information filters; Electrodes;

机译：肌电图肌肉;低通滤波器整流器；信息过滤器；电极;

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专利

1. Ridge Extraction From the Time;frequency Representation (TFR) of Signals Based on an Image Processing Approach: Application to the Analysis of Uterine Electromyogram AR TFR [J] . Terrien J., Marque C., Germain G. IEEE Transactions on Biomedical Engineering . 2008,第5期

机译：基于图像处理方法的信号时频表示中的脊线提取：在子宫肌电图AR TFR分析中的应用
2. Ridge Extraction From the Time–frequency Representation (TFR) of Signals Based on an Image Processing Approach: Application to the Analysis of Uterine Electromyogram AR TFR [J] . Terrien J., Marque* C., Germain G. IEEE Transactions on Biomedical Engineering . 2008,第5期

机译：基于图像处理方法的信号时频表示（TFR）中的脊线提取：在子宫肌电图AR TFR分析中的应用
3. An automatic feature extraction and fusion model: application to electromyogram (EMG) signal classification [J] . Anil Hazarika, Lachit Dutta, Meenakshi Boro, International Journal of Multimedia Information Retrieval . 2018,第3期

机译：自动特征提取和融合模型：电灰度（EMG）信号分类
4. Electromyogram (EMG) Signal Processing Analysis for Clinical Rehabilitation Application [C] . Ismail Saad, Nur Husna Bais., Bun Seng C., International Conference on Artificial Intelligence, Modelling and Simulation . 2015

机译：临床康复应用的电灰度（EMG）信号处理分析
5. Optimized surface electromyogram (sEMG) signal processing and system identification for smart prosthetic hand control. [D] . Sebastian, Anish. 2012

机译：优化的表面肌电图（sEMG）信号处理和系统识别，可实现智能假肢手控制。
6. Techniques of EMG signal analysis: detection processing classification and applications [O] . M.B.I. Raez, M.S. Hussain, F. Mohd-Yasin 2006

机译：EMG信号分析技术：检测处理分类和应用
7. Electromyogram (EMG) Signal Processing Analysis for Clinical Rehabilitation Application [O] . Bunseng Chan, Nur Husna Bais, Ismail Saad, 2017

机译：临床康复应用的电灰度（EMG）信号处理分析
8. Computer-Based Clinical Instrumentation for Processing and Analysis of Mechanically Evoked Electromyographic Signals in the Upper Limb. [R] . Nazeran, H., Jaberzadeh, S., Bidhendi, E. 2001

机译：基于计算机的上肢机械诱发肌电信号处理和分析临床仪器。

Electromyogram (EMG) Signal Processing Analysis for Clinical Rehabilitation Application

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