低成本动力仪用于测量和调节手腕延伸和动电机任务,用于脑电图实验
Abdul-Khaaliq Mohamed1, Muhammed Aswat1, Vered Aharonson1,2
1School of Electrical and Information Engineering, University of Witwatersrand, Johannesburg 2050, South Africa.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
一种新的动力计,IsoReg,精确地控制手的动作,用于大脑-计算机接口研究. 这通过在实验期间标准化运动力,速度和范围来改善电脑电图 (EEG) 信号的解释.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 康复技术 康复技术 康复技术
背景情况:
- 大脑-计算机接口 (BCI) 解释脑电图 (EEG) 信号,以控制假肢设备.
- 运动力,速度和范围的变化可能导致在BCI控制期间误解EEG信号.
- 标准化运动参数对于提高基于EEG的BCI系统的准确性和可靠性至关重要.
研究的目的:
- 设计,制造和评估一款新型动力计,IsoReg,用于调节手腕伸展 (WE) 和手腕曲 (WF) 运动.
- 评估IsoReg控制运动参数的能力,并在BCI应用中改进EEG信号解释.
- 提供一种低成本的方法来测量和调节神经肌肉研究中的运动.
主要方法:
- IsoReg的开发目的是限制手部运动以同度WE和WF,控制速度和运动范围.
- 双重负载电池系统测量运动力,计算和显示最大自发收缩的百分比.
- 该设备的线性,测量精度和性能在典型的EEG实验条件下与14名参与者进行了评估.
主要成果:
- 该IsoReg显示了应用和测量力之间的一致线性,平均准确率为97%.
- 视力力表在规范化力测量中实现了超过98.66%的平均精度.
- 参与者使用IsoReg成功控制了运动任务,平均准确率为89.90%,最大限度地减少了力变化.
结论:
- 该IsoReg有效调节等比手部运动,确保在EEG记录期间保持一致的力,速度和距离.
- 这种标准化显著降低了EEG信号的变异性,从而改善了用于BCI控制的神经信号解释.
- 该IsoReg提供了一个具有成本效益的解决方案,用于提高神经肌肉研究的精度,并推进BCI技术.
相关概念视频
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