残疾人移动专用电动轮椅的肌电控制系统设计

I. W. Nudra Bajantika Pradivta, A. Arifin, F. Arrofiqi, Takashi Watanabe
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引用次数: 7

摘要

瘫痪是一种导致患者无法移动腿部肌肉或手部肌肉的状况。然而,瘫痪的受试者仍然可以使用其他完整肌肉的电活动作为电动轮椅的控制命令。该系统包括肌电信号的检测和处理,以及控制轮椅前进、后退、停止、左转和右转的解释。测量桡侧腕屈肌的肌电信号,并通过设计的仪器放大器进行放大。然后对信号进行滤波去噪,保持肌电频率范围在20500 Hz。滤波后的信号进一步处理,产生线性包络,保持肌电信号包络的最大值。通过阈值法确定被试对肌电信号包络的指令解释。8名受试者轮椅导航基本动作的平均成功率为100%。3个科目通过确定轨迹的测试结果平均成功率为95.83%。期望在未来,受试者能够以受试者的意愿速度使用轮椅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Myoelectric Control Command of Electric Wheelchair as Personal Mobility for Disabled Person
Paralysis is a condition that causes the sufferer to be unable to move the leg muscles or hand muscles. However, a paralyzed subject can still use the electrical activity of other intact muscles as a control command for the electric wheelchair. This system includes instrumentation and processing of electromyography (EMG) signal, and interpretation for controlling the wheelchair to move forward, backward, stop, turn left, and turn right. The EMG signal of the Flexor Carpi Radialis muscles was measured and amplified by a designed instrumentation amplifier. Then, the signal was filtered to eliminate noise and maintain the EMG frequency range of 20500 Hz. After filtering, the signal was processed more to produce a linear envelope and hold the maximum value of the envelope of the EMG signal. Interpretation of command from subject was determined by thresholing method to the envelope of the EMG signal. The results of wheelchair navigation with basic movements had an average success rate of 100% of 8 subjects. The test results past the determined track have an average success rate of 95.83% for 3 subjects. It is expected that in the future, the subjects can use the wheelchair with subject’s intention speed.
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