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Wearable technologies for hand joints monitoring for rehabilitation: A survey

机译:用于监测关节康复的可穿戴技术:一项调查

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Hand deformities often become a major obstacle in conducting everyday tasks for many people around the globe. Rehabilitation procedures are widely used for strengthening the hand muscles, which in turn leads to the restoration of functionality of the affected hand. This paper conducts a survey of various wearable technologies that can be used to accurately quantify the rehabilitation progress in terms of fingers' hand joint angles. Based on the data acquisition methods, these technologies can be mainly divided into six categories: 1) Flex sensor based; 2) Accelerometer based; 3) Vision based; 4) Hall-effect based; 5) Stretch sensor based; and 6) Magnetic sensor based. The main focus of some of the discussed technologies has been on various other domains, like gaming gloves, tele-manipulation etc., and thus their usage for rehabilitation of hand joints could be quite interesting. This paper analyzes the strengths and weaknesses of these wearable technologies along with some examples of their implementations. Based on our survey results, we propose a wearable glove for accurately measuring hand joint angles with enhanced features for better diagnosis and rehabilitation.
机译:对于全球许多人来说,手部畸形经常成为执行日常任务的主要障碍。康复程序被广泛用于增强手部肌肉,从而导致受影响的手恢复功能。本文对各种可穿戴技术进行了调查,这些技术可用于根据手指的手关节角度准确地量化康复过程。基于数据采集方法,这些技术主要可以分为六类:1)基于Flex传感器; 2)基于加速度计; 3)基于愿景; 4)基于霍尔效应; 5)基于拉伸传感器; 6)基于磁传感器。一些讨论的技术的主要焦点已经集中在其他各个领域,例如游戏手套,远程操纵等,因此将它们用于手部关节的康复可能非常有趣。本文分析了这些可穿戴技术的优缺点,以及一些实现示例。根据我们的调查结果,我们提出了一种可穿戴式手套,用于精确测量手部关节角度,并具有增强的功能,可以更好地进行诊断和康复。

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