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Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

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Published on: July 22, 2014

适应疲劳的EMG接口用于实时异步轮椅导航.

Preetha S¹, Sasikala M¹, Poonguzhali S¹

¹Department of Biomedical Engineering, College of Engineering Guindy, Anna University, Chennai, Tamil Nadu, India.

Disability and rehabilitation. Assistive technology

|December 1, 2025

概括

一个新的表面电肌图 (sEMG) 系统使用部和肩部肌肉进行直观的动力轮椅控制. 这种具有成本效益的解决方案为移动障碍者提供了高精度和易于使用的解决方案.

关键词:

人机界面 (HMI) 是指人机界面.适应性值设置适应性值设置电动肌图 (EMG) 是一种电动肌图.肌肉疲劳肌肉疲劳肌肉疲劳轮椅的实时控制肩膀和部运动肩膀和部运动

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科学领域:

生物医学工程生物医学工程
康复技术康复技术康复技术
神经科学是一个神经科学.

背景情况:

传统的动力轮椅接口对脊髓损伤 (SCI),神经肌肉疾病或中风相关损伤的个体构成挑战.
上肢和下肢的有限移动性需要创新的控制解决方案来提高独立性.

研究的目的:

开发和评估基于轻量级表面电肌图 (sEMG) 的系统,以实现直观可靠的动力轮椅导航.
为了利用剩余的部和肩部肌肉活动来控制轮椅,提供一种可访问的替代方案.

主要方法:

实施了一个三电极sEMG系统,准了梯形肌和大肌肌肉.
实时信号处理使用ESP32微控制器,具有标准偏差特征提取和疲劳补偿的动态值.
五个不同的轮椅导航命令的分类.

主要成果:

健康参与者实现了100%的准确性,而残疾参与者 (PwDs) 实现了96.75%的准确性.
健康对照组的信息传输速率 (ITR) 为 44.40 位/分钟,PWDs 的信息传输速率为 38.59 位/分钟.
所有参与者都发现系统安全,舒适,易于使用,报告高满意度.

结论:

开发的sEMG系统为动力轮椅控制提供了实用,实时和经济高效的解决方案.
最小的设置,低的计算复杂性和适应性疲劳补偿使该系统适合日常使用.
这项技术为严重移动限制的个人提供了辅助设备控制的重大进步.