在fes诱发的收缩过程中，用于检测肌肉活动和疲劳的肌力描记传感器

2014 IEEE 19th International Functional Electrical Stimulation Society Annual Conference (IFESS) Pub Date : 2014-09-01 DOI:10.1109/IFESS.2014.7036759

M. Ng, Maryam Pourmajidian, N. A. Hamzaid

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引用次数: 6

摘要

本实验旨在探讨两种不同的机械肌图(MMG)传感器在功能性电刺激(FES)诱发收缩时记录的可靠性。在本研究中使用的基于MMG的传感器是振动肌图(VMG)和肌肉收缩(MC)传感器。一位脊髓损伤(SCI)患者被要求在两次等张运动中进行膝关节伸展运动，以进行强度和疲劳测试。每个传感器的数据在个人计算机上收集、处理和分析。将传感器处理后的数据与实测输出转矩进行关联，识别传感器信号与输出的线性度。对两种基于MMG的传感器的分析数据进行了制表和比较。相关系数接近1的传感器被认为在肌肉活动和疲劳检测中更可靠。由此可见，MC传感器在检测和测量脊髓损伤受试者肌肉活动方面具有较好的效果。而VMG对脊髓损伤受试者的肌肉疲劳检测和测量效果较好。

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Mechanomyography sensors for detection of muscle activities and fatigue during Fes-evoked contraction

The experiment is to investigate the reliability of two different mechanomyogram (MMG) sensors recording during functional electrical stimulation (FES)-evoked contraction. The MMG based sensors used in this study are vibromyography (VMG) and muscle contraction (MC) sensor. One spinal cord injured (SCI) patient was requested to perform knee extension movements during two sessions of isotonic exercise for strength and fatigue tests. Data from each sensor was collected, processed and analysed in personal computer. Processed data of sensors were correlated with the measured output torque to identify the linearity of sensors signal with output. Analyzed data from both MMG based sensors are tabulated and compared. The sensor with coefficient of correlation nearest to 1 is considered more reliable in muscle activity and fatigue detection. From the findings, it can be concluded that MC sensor is better in detecting and measuring muscle activities for SCI subjects. While for detecting and measuring muscle fatigue VMG performs better for SCI subjects.

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2014 IEEE 19th International Functional Electrical Stimulation Society Annual Conference (IFESS)

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