Method for Muscle Tone Monitoring During Robot-Assisted Therapy of Hand Function: A Proof of Concept

Raffaele Ranzani, Federica Viggiano, Bernadette Engelbrecht, J. Held, O. Lambercy, R. Gassert
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引用次数: 9

Abstract

Robot-assisted rehabilitation of hand function is becoming an established approach to complement conventional therapy after stroke, particularly in view of its possible unsupervised use to promote an increase in therapy dose. Given their intensive therapy regime, robots may promote a temporary increase in hand muscle tone and spasticity, which may cause pain and negatively affect recovery. To integrate hand muscle tone monitoring into an assessment-driven robot-assisted therapy concept, an online assessment of muscle tone is proposed and incorporated into an exercise. The exercise was preliminarily tested in a pilot study with five chronic stroke survivors (non-spastic at rest) and five healthy participants to identify the range of potential physiological muscle tone change that can happen also in a non-spastic population during a single exercise session. In both groups, the muscle tone level during hand opening was higher in fast 20 mm ramp-and-hold perturbations (150 ms) compared to slow (250 ms) perturbations, and corresponded to a force change of approximately 4-5 N. Despite not being statistically significantly different, in the stroke group the force change (and the speed dependency) increased with exercise time. This information could serve as a basis to develop strategies to continuously adapt the difficulty and activity level required in robot-assisted rehabilitation and to monitor or even control the muscle tone evolution over time
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机器人辅助手部功能治疗中肌张力监测方法:概念验证
机器人辅助的手部功能康复正在成为一种成熟的方法,以补充中风后的传统治疗,特别是考虑到它可能在无监督的情况下使用,以促进治疗剂量的增加。鉴于它们的强化治疗方案,机器人可能会促进手部肌肉张力和痉挛的暂时增加,这可能会导致疼痛并对康复产生负面影响。为了将手肌张力监测整合到评估驱动的机器人辅助治疗概念中,提出了一种在线肌肉张力评估并将其纳入练习中。这项运动在一项试点研究中进行了初步测试,参与者包括5名慢性中风幸存者(休息时非痉挛)和5名健康参与者,以确定在单次运动期间非痉挛人群中可能发生的潜在生理肌肉张力变化范围。在两组中,与慢速(250 ms)扰动相比,在快速20 mm倾斜和保持扰动(150 ms)中,手张开时的肌肉张力水平更高,并且对应于大约4-5 n的力变化,尽管没有统计学上的显著差异,但在中风组中,力变化(以及速度依赖性)随着运动时间的增加而增加。这些信息可以作为制定策略的基础,以不断适应机器人辅助康复所需的难度和活动水平,并监测甚至控制肌肉张力随时间的演变
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