Lamsey Matthew, Wells Meredith D, Hamby Lydia, Scanlon Paige E, Siddiqui Rouida, Tan You Liang, Feldman Jerry, Kemp Charles C, Hackney Madeleine E
Georgia Institute of Technology, Institute for Robotics and Intelligent Machines, Atlanta, GA 30332, USA.
Superfeet Worldwide, 1820 Scout Place, Ferndale, WA 98248, USA.
Healthcare (Basel). 2025 Jul 3;13(13):1590. doi: 10.3390/healthcare13131590.
Robot-led rehabilitative exercise offers a promising avenue to enhance the care provided by exercise specialists (ESs). ESs, such as physical and occupational therapists, prescribe exercise regimens to clinical populations to improve patients' adherence to prescribed exercises outside the clinic, such as at home. Collaborative efforts among roboticists, clinical ESs, and patients are essential for developing interactive, personalized exercise systems that meet each stakeholder's needs. This work builds upon research involving individuals with Parkinson's disease (PD) that evaluated a robotic rehabilitative exercise system designed to address strength and flexibility deficits. To complement the findings of our previous work in people with PD (PWP), we conducted a pilot user study in which 11 ESs evaluated a novel robot-led exercise system for PWP, focusing on perceptions of the system's efficacy and acceptance. Utilizing a mixed-methods approach, including technology acceptance questionnaires, task load questionnaires, and inductively coded semi-structured interviews, we gathered comprehensive insights into ES perspectives and experiences after interacting with the system. Findings reveal a broadly positive reception, which highlights the system's capacity to augment traditional rehabilitative exercise for PD, enhance patient engagement, and ensure consistent exercise support. We also identified two key areas for improvement: incorporating more human-like feedback systems and increasing the robot's ease of use. This research emphasizes the value of incorporating robotic assistants into rehabilitative exercise for PD, offering insights that can guide the development of more effective and user-friendly rehabilitation technologies.
机器人主导的康复训练为加强运动专家（ES）提供的护理提供了一条有前景的途径。运动专家，如物理治疗师和职业治疗师，为临床人群制定运动方案，以提高患者在诊所外（如在家中）对规定运动的依从性。机器人专家、临床运动专家和患者之间的合作对于开发满足每个利益相关者需求的交互式、个性化运动系统至关重要。这项工作建立在涉及帕金森病（PD）患者的研究基础上，该研究评估了一种旨在解决力量和灵活性缺陷的机器人康复训练系统。为了补充我们之前在帕金森病患者（PWP）身上的研究结果，我们进行了一项试点用户研究，11名运动专家对一种针对帕金森病患者的新型机器人主导运动系统进行了评估，重点关注对该系统功效和可接受性的看法。我们采用混合方法，包括技术接受问卷、任务负荷问卷和归纳编码的半结构化访谈，在与该系统交互后，全面了解了运动专家的观点和体验。研究结果显示出广泛的积极接受度，这突出了该系统增强帕金森病传统康复训练、提高患者参与度以及确保持续运动支持的能力。我们还确定了两个关键改进领域：纳入更具人性化的反馈系统以及提高机器人的易用性。这项研究强调了将机器人助手纳入帕金森病康复训练的价值，提供了可指导开发更有效和用户友好型康复技术的见解。
