Park Jeong-Ho, Lee Kwang-Jae, Yoon Yong-Soon, Son Eun-Ji, Oh Ji-Sun, Kang Si Hyun, Kim Heesang, Park Hyung-Soon
IEEE Int Conf Rehabil Robot. 2017 Jul;2017:146-151. doi: 10.1109/ICORR.2017.8009237.
Reliable assessment is essential for the management of spasticity, one of the most frequent complication of various neurological diseases. For the spasticity assessment, several clinical tools have been developed and widely used in clinics. The most popular one is modified Ashworth scale (MAS). It has a simple protocol, but is subjective and qualitative. To improve its reliability, quantitative measurement and consistent training would be needed. This study presents an elbow spasticity simulator which mimics spastic response of adult post stroke survivors. First, spastic responses (i.e. resistance and joint motion) from patients with a stroke were measured during conventional MAS assessment. Each grade of MAS was quantified by using three parameters representing three characteristics of the spasticity. Based on the parameters, haptic models of MAS were developed for implementing repeatable and consistent haptic training of novice clinicians. Two experienced clinicians participated in preliminary evaluation of the models.
可靠的评估对于痉挛的管理至关重要，痉挛是各种神经系统疾病最常见的并发症之一。对于痉挛评估，已经开发了几种临床工具并在临床上广泛使用。最常用的是改良Ashworth量表（MAS）。它有一个简单的方案，但具有主观性和定性性。为了提高其可靠性，需要进行定量测量和一致的培训。本研究提出了一种肘部痉挛模拟器，它模拟成年中风幸存者的痉挛反应。首先，在传统的MAS评估过程中测量中风患者的痉挛反应（即阻力和关节运动）。通过使用代表痉挛三个特征的三个参数对MAS的每个等级进行量化。基于这些参数，开发了MAS的触觉模型，用于对新手临床医生进行可重复和一致的触觉训练。两名经验丰富的临床医生参与了模型的初步评估。
