使用机器人手臂在中风后使用机器人手臂的个体中描述手臂不使用的工作空间的指标
Nathaniel Dennler1, Amelia Cain2, Erica De Guzman1
1Department of Computer Science, University of Southern California, Los Angeles, CA, USA.
Science robotics
|November 15, 2023
概括
卒中幸存者往往不充分使用受影响的手臂,这种现象被称为手臂不使用. 使用机器人进行的新双手臂伸展测试 (BARTR) 提供了一种有效,可靠的方法,可以在临床神经康复中客观地测量这一点.
科学领域:
- 神经科学是一个神经科学.
- 康复医学 康复医学 康复医学
- 机器人在医学中的机器人
背景情况:
- 半球性中风的幸存者经常表现出过度依赖未受影响的肢体进行功能任务,尽管肢的容量已恢复.
- 使用能力和实际自发使用之间的这种差异被称为手臂不使用.
- 由于测试条件对自发手臂选择的影响,难以对手臂不使用进行生态有效的评估.
研究的目的:
- 开发和验证一种新的机器人仪器,用于定量评估慢性中风幸存者的手臂不使用情况.
- 提供一种公正和远程的方法,用于收集微妙的空间数据,用于临床手臂的非使用评估.
- 建立可靠的指标来评估旨在减少手臂不使用和改善中风后功能恢复的干预措施的有效性.
主要方法:
- 使用机器人 (BARTR) 系统进行双手臂伸展测试的开发.
- 使用机器人手臂在功能任务期间远程和公正收集空间数据.
- 在神经康复背景下评估BARTR的有效性,可靠性和可用性.
主要成果:
- 在BARTR系统允许定量评估的手臂非使用.
- 机器人方法为临床评估提供了无偏见,细微的空间数据.
- 该BARTR证明了有效性,可靠性和易用性,满足神经康复指标的标准.
结论:
- 用机器人进行双手臂伸展测试 (BARTR) 是一个有希望的工具,可以客观地量化中风幸存者的手臂不使用情况.
- 这种机器人方法有助于准确评估干预的有效性,以减少手臂的非使用.
- 在神经康复环境中,BARTR支持增强功能恢复和改进临床评估.
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