一个脑机界面的设计,以减少低肢外骨架的错误激活,基于与错误相关的潜在错误
P Soriano-Segura1, M Ortiz1, E Iáñez1
1Brain-Machine Interface Systems Lab, Miguel Hernández University of Elche, Spain; Engineering Research Institute of Elche - I3E, Miguel Hernández University of Elche, Spain.
Computer methods and programs in biomedicine
|July 25, 2024
概括
这项研究通过检测错误相关潜力 (ErrP) 来增强脑机接口 (BMI) 来控制外骨,以减少错误启动. 触觉反在提高系统准确性和可用性方面被证明是最有效的.
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:
- 大脑机器接口 (BMI) 通过运动图像提供直观的外骨控制.
- 临床应用受到准确性问题和错误激活的限制.
- 整合错误相关潜力 (ErrP) 检测可以提高BMI的准确性和可用性.
研究的目的:
- 在步行开始时表征ErrP,以控制下肢外骨架.
- 减少BMI系统中的错误启动.
- 确定用于ErrP检测的最佳反类型 (触觉,视觉,视觉触觉).
主要方法:
- 设计了一个实验协议,使用触觉,视觉和视觉触觉刺激来唤起ErrP.
- 利用代选择来在时间/频率域中描述ErrP.
- 配置了一个集体分类系统,用于6个科目的通用分类器.
主要成果:
- 组装系统平均纠正了72.60%±10.23%的错误启动.
- 触觉反是唤起和检测ErrP的最有效的刺激.
- 系统准确度显著提高,错误启动减少.
结论:
- 使用触摸反将ErrP检测与BMI-MI集成在一起,可以减少错误启动.
- 增强系统安全性和可用性.
- 未来的研究将专注于在停止机动的步行过程中检测ErrP.
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