Department of Computer Science & Engineering, Graduate School, Soonchunhyang University, 22 Soonchunhyang-ro, Asan 31538, Korea.
Department of Medical IT Engineering, College of Medical Sciences, Soonchunhyang University, 22 Soonchunhyang-ro, Asan 31538, Korea.
Sensors (Basel). 2020 Aug 13;20(16):4548. doi: 10.3390/s20164548.
An inexperienced therapist lacks the analysis of a patient's movement. In addition, the patient does not receive objective feedback from the therapist due to the visual subjective judgment. The aim is to provide a guide for in-depth rehabilitation therapy in virtual space by continuously tracking the user's wrist joint during Leap Motion Controller (LMC) activities and present the basic data to confirm steady therapy results in real-time. The conventional Box and Block Test (BBT) is commonly used in upper extremity rehabilitation therapy. It was modeled in proportion to the actual size and Auto Desk Inventor was used to perform the 3D modeling work. The created 3D object was then implemented in C # through Unity5.6.2p4 based on LMC. After obtaining a wrist joint motion value, the motion was analyzed by 3D graph. Healthy subjects (23 males and 25 females, n = 48) were enrolled in this study. There was no statistically significant counting difference between conventional BBT and system BBT. This indicates the possibility of effective diagnosis and evaluation of hemiplegic patients post-stroke. We can keep track of wrist joints, check real-time continuous feedback in the implemented virtual space, and provide the basic data for an LMC-based quantitative rehabilitation therapy guide.
缺乏经验的治疗师无法分析患者的动作。此外，由于视觉主观判断，患者无法从治疗师那里获得客观反馈。目的是通过在 Leap Motion Controller（LMC）活动期间持续跟踪用户的腕关节，并实时提供基本数据以确认稳定的治疗效果，为虚拟空间中的深入康复治疗提供指导。传统的 Box and Block Test（BBT）常用于上肢康复治疗。它按照实际尺寸进行建模，并使用 Auto Desk Inventor 进行 3D 建模工作。然后通过基于 LMC 的 Unity5.6.2p4 在 C#中实现创建的 3D 对象。获得腕关节运动值后，通过 3D 图分析运动。本研究纳入了健康受试者（男性 23 名，女性 25 名，n=48）。传统 BBT 和系统 BBT 之间的计数差异没有统计学意义。这表明有可能对中风后偏瘫患者进行有效诊断和评估。我们可以跟踪腕关节，检查实施的虚拟空间中的实时连续反馈，并为基于 LMC 的定量康复治疗指南提供基本数据。
