Worapong Narongwongwathana, P. Punyabukkana, W. Kitisomprayoonkul, W. Chonnaparamutt
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引用次数: 0
摘要
中风患者需要得到一个评估计划的恢复过程,这是用来准备一个适当的康复。Fugl-Meyer评估是一种流行的方案,涵盖了所有水平的身体状况,但通常必须由专家使用该方案才能获得准确的结果。此外,评估需要很长时间才能完成。因此,本研究提出了一种新的评估系统,称为“Wearable assessment Arm Motion: WAAM”。该系统的目的是协助治疗师的工作,减少评估时间。WAAM被设计成一种测量7自由度连杆运动的装置。采用Madgwick算法和矢量化算法对关节角进行严重性计算。基于Fugl-Meyer评价上肢运动功能的评定过程。而分数分类是基于逻辑的。结果表明,联合计算误差为2.45度,分数分类准确率为96%。
The stroke patient needs to get an assessment for planning the recovery process, which is used to prepare an appropriate rehabilitation. Fugl-Meyer assessment is a popular protocol that covers all levels of physical conditions, but generally the protocol must be used by an expert for an accurate result. Furthermore, the assessment takes a long time period to be done. So, this research presents a novel assessment system, which called "Wearable Assessment Arm Motion: WAAM". The system has an aim to assist the therapist work and to reduce the assessment time. WAAM is designed as a device to measure the movement of a 7 DOF-link. Madgwick algorithm and vectorization are used severity to calculate the joint angle. The process of assessment based on Fugl-Meyer assessment for upper extremity in motor function. And the score classification is a logic-based. The result shows the error for the joint calculation as 2.45 degrees and the accuracy for score classification as 96 percentage.