机械臂
公制(单位)
物理医学与康复
计算机科学
工作区
机器人
冲程(发动机)
日常生活活动
慢性中风
心理干预
医学
心理学
物理疗法
人工智能
康复
运营管理
工程类
护理部
机械工程
作者
Nathaniel Dennler,Amelia Cain,Eghon Guzman,C.T. Chiu,Carolee J. Winstein,Stefanos Nikolaidis,Maja J. Matarić
出处
期刊:Science robotics
[American Association for the Advancement of Science]
日期:2023-11-15
卷期号:8 (84): eadf7723-eadf7723
被引量:8
标识
DOI:10.1126/scirobotics.adf7723
摘要
An overreliance on the less-affected limb for functional tasks at the expense of the paretic limb and in spite of recovered capacity is an often-observed phenomenon in survivors of hemispheric stroke. The difference between capacity for use and actual spontaneous use is referred to as arm nonuse. Obtaining an ecologically valid evaluation of arm nonuse is challenging because it requires the observation of spontaneous arm choice for different tasks, which can easily be influenced by instructions, presumed expectations, and awareness that one is being tested. To better quantify arm nonuse, we developed the bimanual arm reaching test with a robot (BARTR) for quantitatively assessing arm nonuse in chronic stroke survivors. The BARTR is an instrument that uses a robot arm as a means of remote and unbiased data collection of nuanced spatial data for clinical evaluations of arm nonuse. This approach shows promise for determining the efficacy of interventions designed to reduce paretic arm nonuse and enhance functional recovery after stroke. We show that the BARTR satisfies the criteria of an appropriate metric for neurorehabilitative contexts: It is valid, reliable, and simple to use.
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