Can Robotic Feedback and Adaptation Possibilities Match Therapeutic Needs? - An Observational Study

IF 4.3 Q2 ENGINEERING, BIOMEDICAL
Michael Sommerhalder;Madlaina Büchi;Saskia Risch;Anja M. Raab;Mario Widmer;Robert Riener;Peter Wolf
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Abstract

An observational study with the Swiss Paraplegic Centre, Nottwil, aimed to tailor robotic systems to therapists’ preferences by quantifying therapist-patient interactions, as understanding the therapists’ adaptation strategies is essential for effective customization. A total of 2297 interactions were recorded in 198 exercises with 16 patient-therapist pairs, either directly or through a robotic device with enhanced analysis tools. Derived correlation maps quantified three preferred interaction strategies: Observation of compensatory movement and posture issues caused direct tactile reaction, issues with robotic settings led to robotic support adaptations, and robotic support adaptations preceded additional support adaptations without intermediate patient observation. Strategies varied by exercise type, with direct tactile reactions dominating reach-goal exercises and robotic adjustments dominating in nominal path exercises. We conclude that a limited set of robotic feedback and adaptation options fails to meet therapeutic needs, given the wide variability in individual rehabilitation strategies. In contrast, offering an exhaustive range of options overwhelms therapists, often causing them to favor direct patient interaction over engaging with the robotic system. Therefore, an optimal robotic system must incorporate methods that understand the therapist’s strategic intent and dynamically adapt the presented information and adjustable parameters to the specific needs and preferences of the operating therapist.
机器人反馈和适应的可能性能满足治疗需求吗?-一项观察性研究
瑞士截瘫中心的一项观察性研究,旨在通过量化治疗师与患者的互动,根据治疗师的喜好定制机器人系统,因为了解治疗师的适应策略对有效定制至关重要。在16对患者-治疗师的198次练习中,共记录了2297次互动,直接或通过带有增强分析工具的机器人设备。衍生的相关图量化了三种首选的交互策略:观察代偿运动和姿势问题引起直接的触觉反应,机器人设置问题导致机器人支持适应,机器人支持适应先于额外的支持适应,而没有中间的患者观察。策略因运动类型而异,直接的触觉反应在达到目标的运动中占主导地位,机器人调节在名义路径运动中占主导地位。我们的结论是,考虑到个体康复策略的广泛差异,有限的机器人反馈和适应选择无法满足治疗需求。相比之下,提供一系列详尽的选择让治疗师不知所措,往往导致他们倾向于与患者直接互动,而不是与机器人系统互动。因此,一个最佳的机器人系统必须包含理解治疗师的策略意图的方法,并动态地适应所呈现的信息和可调参数,以满足操作治疗师的特定需求和偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.80
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