基于发动机单元放电的三度DoF运动的同时且比例的实时控制
IEEE journal of biomedical and health informatics
|March 3, 2025
概括
高密度电肌图 (EMG) 分解使单个电机单元 (MU) 可用于直观的人机界面的控制. 这项研究实现了三度自由度 (3-DoF) 的同时控制,显著提高了实时肌电能力.
科学领域:
- 生物医学工程 生物医学工程
- 神经科学是一个神经科学.
- 人与机器接口 人与机器接口
背景情况:
- 高密度电肌图 (EMG) 分解允许在单个电机单元 (MU) 层面上进行肌电控制.
- 目前基于MU的控制通常仅限于1-2个自由度 (DoF),从而降低了直观性.
- 需要先进的控制策略来实现更自然,更复杂的假肢或辅助设备操作.
研究的目的:
- 开发和验证一种新的方法,使用动力单元动作电位列 (MUAPT) 来实现三个DoF的同时和比例控制 (SPC).
- 通过基于图形的集群方法,将单个MU与多个手腕/手部运动联系起来.
- 为了证明实时,多DoF肌电控制的可行性,以增强人机交互.
主要方法:
- 高密度EMG信号的分解以隔离单个MU活动.
- 应用基于图形的集群方法来分组与不同运动相关的MU.
- 提取累积的MU放电和映射到多DoF运动使用多线性回归模型.
- 实时控制任务使用虚拟箭头与基于位置和速度的反.
主要成果:
- 基于MUAPT的三个DoF SPC的成功实施.
- 高任务完成率:89.2%在速度控制模式和70%在位置控制模式.
- 展示了需要同时激活多个DoF的直观控制的潜力.
结论:
- 拟议的基于MUAPT的控制方案可以实现直观的三个DoF实时肌电控制.
- 这项技术显著提升了基于MU的控制策略的能力.
- 突出了个别MU在开发复杂和用户友好的人机界面方面的潜力.
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