Crocher Vincent, Brock Kim, Simondson Janine, Klaic Marlena, Galea Mary P
Department of Mechanical Engineering, The University of Melbourne, Melbourne, Australia.
St Vincent's Hospital, Melbourne, Australia.
Disabil Rehabil. 2025 May;47(9):2349-2357. doi: 10.1080/09638288.2024.2394175. Epub 2024 Aug 27.
Robotic devices for upper-limb neurorehabilitation allow an increase in intensity of practice, often relying on video game-based training strategies with limited capacity to individualise training and integrate functional training. This study shows the development of a robotic Task Specific Training (TST) protocol and evaluate the achieved dose.
Mixed-method study. A 3D robotic device for the upper limb, was made available to therapists for use during neurorehabilitation sessions. A first phase allowed clinicians to define a dedicated session protocol for TST. In a second phase the protocol was applied and the achieved dose was measured.
First phase ( = 5): a specific protocol, using deweighting for assessment, followed by customised passive movements and then active movement practice was developed. Second phase: the protocol was successfully applied with all participants ( = 10). Intervention duration: 4.5 ± 0.8 weeks, session frequency: 1.4 ± 0.2sessions/week, session length: 42 ± 9mins, session density: 39 ± 13%, intensity: 214 ± 84 movements/session, difficulty: dn = 0.77 ± 0.1 (normalised reaching distance) and Ɵ = 6.3 ± 23° (transverse reaching angle). Sessions' density and intensity were consistent across participants but clear differences of difficulty were observed. No changes in metrics were observed over the intervention.
Robotic systems can support TST with high therapy intensity by modulating the practice difficulty to participants' needs and capabilities.
用于上肢神经康复的机器人设备能够提高训练强度,通常依赖基于视频游戏的训练策略,但其个性化训练和整合功能训练的能力有限。本研究展示了一种机器人特定任务训练(TST)方案的开发,并评估了所达到的训练量。
混合方法研究。一种用于上肢的3D机器人设备可供治疗师在神经康复治疗期间使用。第一阶段让临床医生为TST定义一个专门的治疗方案。在第二阶段应用该方案并测量所达到的训练量。
第一阶段(n = 5):制定了一个特定方案,使用减重进行评估,随后进行定制的被动运动,然后是主动运动练习。第二阶段:该方案在所有参与者(n = 10)中成功应用。干预持续时间:4.5±0.8周,治疗频率:1.4±0.2次/周,治疗时长:42±9分钟,治疗密度:39±13%,强度:214±84次/治疗,难度:dn = 0.77±0.1(归一化伸展距离)和Ɵ = 6.3±23°(横向伸展角度)。各参与者的治疗密度和强度一致,但观察到难度存在明显差异。在干预过程中未观察到指标变化。
机器人系统可以通过根据参与者的需求和能力调整练习难度,以高治疗强度支持特定任务训练。