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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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在线比较手腕和前臂基于EMG的控制,使用以节奏游戏为灵感的评估环境.

Robyn Meredith1, Ethan Eddy1, Scott Bateman1

  • 1University of New Brunswick, Fredericton, NB E3B 5A3, Canada.

Journal of neural engineering
|July 30, 2024
PubMed
概括

手腕电肌图 (EMG) 控制显示了人机交互 (HMI) 的前景,其性能与前臂EMG相提并论,用于传统的手势,在新的评估环境中更好地进行细致的手指运动.

科学领域:

  • 生物医学工程 生物医学工程
  • 人与计算机的交互
  • 神经科学是一个神经科学.

背景情况:

  • 来自手腕的电肌图 (EMG) 信号是人机交互 (HMI) 的一个不断增长的领域.
  • 关于基于手腕的EMG控制的先前研究是有限的,特别是在实时,用户交互研究中.
  • 现有的评估框架,通常来自假肢,可能无法完全捕捉基于手腕的EMG在各种HMI应用中的潜力.

研究的目的:

  • 为了比较基于手腕的EMG控制与基于前臂的EMG控制的在线可用性.
  • 引入一个新的评估环境,灵感来自节奏游戏和速度准确性权衡.
  • 在不同难度级别和压力下评估EMG控制性能.

主要方法:

  • 开发一种新的,时间受限的评估环境,难度线性增加.
  • 使用这种新环境对手腕和前臂EMG控制进行比较.
  • 分析在线和离线可用性指标,包括速度,准确性和压力影响.

主要成果:

  • 手腕EMG控制表现出与前臂EMG在传统假肢手势方面具有相似的性能.
  • 手腕EMG控制在精细的手指手势方面优于前臂EMG.
  • 在线绩效指标显示,随着环境困难的增加,与线下指标的相关性下降.
关键词:
适合 法律 法律这就是施密特定律.电动肌谱学 电动肌谱学游戏化的游戏化我的电动控制器可用性可用性可用性手腕与前臂的对比

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结论:

  • 基于手腕的EMG是特定HMI应用的可行和潜在的优越控制模式.
  • 实时,动态的评估环境对于准确评估肌电控制系统至关重要.
  • 拟议的评估框架提供了超越传统方法对EMG控制可用性的更深入的见解.