Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4159-4162. doi: 10.1109/EMBC48229.2022.9871423.
Spasticity is a motor disorder characterised by a velocity-dependent increase in muscle tone, which is critical in neurorehabilitation given its high prevalence and potential negative influence among the post-stroke population. Accurate measurement of spasticity is important as it guides the strategy of spasticity treatment and evaluates the effectiveness of spasticity management. However, spasticity is commonly measured using clinical scales which may lack objectivity and reliability. Although many technology-assisted measures have been developed, showing their potential as accurate and reliable alternatives to standard clinical scales, they have not been widely adopted in clinical practice due to their low usability and feasibility. This paper thus introduces an easy-to-use robotic based measure of elbow spasticity and its evaluation protocol. Preliminary results collected with one post-stroke patient and one healthy control subject are presented and demonstrate the feasibility of the approach.
痉挛是一种运动障碍，其特征是肌肉张力随速度的增加而增加，鉴于其在中风患者中的高发病率和潜在负面影响，痉挛在神经康复中至关重要。准确测量痉挛很重要，因为它指导痉挛治疗策略，并评估痉挛管理的效果。然而，痉挛通常使用临床量表进行测量，而临床量表可能缺乏客观性和可靠性。尽管已经开发出许多技术辅助措施，这些措施显示出作为标准临床量表的准确和可靠替代品的潜力，但由于其可用性和可行性低，尚未在临床实践中广泛采用。因此，本文介绍了一种易于使用的基于机器人的肘部痉挛测量方法及其评估方案。本文呈现了对一名中风后患者和一名健康对照者进行初步评估的结果，结果表明该方法具有可行性。
