一套用于监测和改善中风后上肢本体感觉的家庭传感器。

Guillem Cornella-Barba, Callen S Zimmer, Shusuke Okita, David J Reinkensmeyer
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引用次数: 0

摘要

本体感觉评估和训练在中风康复中理论上是重要的,因为本体感觉损伤会导致上肢功能减少,并且是运动治疗有效性的一个有希望的预测指标。然而,目前很少有工具可用于基于家庭的本体感觉监测和训练。在这里,我们描述了我们正在开发的三种适合家庭使用的UE本体感觉康复工具。OpenPoint使用一个网络摄像头,通过一个经典的神经系统测试来自动评估UE本体感觉:手指对手指的指向。Proprio通过在类似于《GuitarHero》的电子游戏中嵌入手指对手指的指向测试,将本体感觉训练游戏化。diversity是一款智能手表上的应用程序,它可以提供关于手臂本体感觉状态的多样性的反馈,这些状态与个人一天中经历的各种手臂姿势有关。我们在这里描述了每个系统的设计以及初步的测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Home-Based Suite of Sensors for Monitoring and Improving Upper Extremity Proprioception After Stroke.

Proprioception assessment and training are theoretically important in stroke rehabilitation because proprioception impairment contributes to reduced upper extremity (UE) function and is a promising predictor of the effectiveness of movement therapy. Currently, however, there are few tools available for home-based monitoring and training of proprioception. Here, we describe three tools that we are developing for UE proprioception rehabilitation that are suitable for home use. OpenPoint uses a webcam to automate UE proprioception assessment via a classic neurologic test: finger-to-finger pointing. Proprio gamifies proprioception training by embedding the finger-to-finger pointing test within a video game similar to GuitarHero. Diversify is an app on a smartwatch that provides feedback about the diversity of arm proprioceptive states associated with the variety of arm postures that an individual experiences throughout the day. We describe here the design of each system as well as preliminary testing results.

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