Exploring Dance as a Therapeutic Approach for Parkinson Disease Through the Social Robotics for Active and Healthy Ageing (SI-Robotics): Results From a Technical Feasibility Study.

IF 5 Q1 GERIATRICS & GERONTOLOGY JMIR Aging Pub Date : 2025-01-14 DOI:10.2196/62930
Roberta Bevilacqua, Elvira Maranesi, Marco Benadduci, Gabriella Cortellessa, Alessandro Umbrico, Francesca Fracasso, Giovanni Melone, Arianna Margaritini, Angela La Forgia, Pierpaolo Di Bitonto, Ada Potenza, Laura Fiorini, Carlo La Viola, Filippo Cavallo, Alessandro Leone, Andrea Caroppo, Gabriele Rescio, Mauro Marzorati, Amedeo Cesta, Giuseppe Pelliccioni, Giovanni Renato Riccardi, Lorena Rossi
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Abstract

Background: Parkinson disease (PD) is a progressive neurodegenerative disorder characterized by motor symptoms. Recently, dance has started to be considered an effective intervention for people with PD. Several findings in the literature emphasize the necessity for deeper exploration into the synergistic impacts of dance therapy and exergaming for PD management. Moreover, socially engaging robotic platforms equipped with advanced interaction and perception features offer potential for monitoring patients' posture and enhancing workout routines with tailored cues.

Objective: This paper presents the results of the Social Robotics for Active and Healthy Ageing (SI-Robotics) project, aimed at designing an innovative rehabilitation program targeted at seniors affected by (early-stage) PD. This study therefore aims to assess the usefulness of a dance-based rehabilitation program enriched by artificial intelligence-based exergames and contextual robotic assistance in improving motor function, balance, gait, and quality of life in patients with PD. The acceptability of the system is also investigated.

Methods: The study is designed as a technical feasibility pilot to test the SI-Robotics system. For this study, 20 patients with PD were recruited. A total of 16 Irish dance-based rehabilitation sessions of 50 minutes were conducted (2 sessions per week, for 8 wks), involving 2 patients at a time. The designed rehabilitation session involves three main actors: (1) a therapist, (2) a patient, and (3) a socially interacting robot. To stimulate engagement, sessions were organized in the shape of exergames where an avatar shows patients the movements they should perform to correctly carry out a dance-based rehabilitation exercise.

Results: Statistical analysis reveals a significant difference on the Performance-Oriented Mobility Assessment scale, both on balance and gait aspects, together with improvements in Short Physical Performance Battery, Unified Parkinson Disease Rating Scale-III, and Timed Up and Go test, underlying the usefulness of the rehabilitation intervention on the motor symptoms of PD. The analysis of the Unified Theory of Acceptance and Use of Technology subscales provided valuable insights into users' perceptions and interactions with the system.

Conclusions: This research underscores the promise of merging dance therapy with interactive exergaming on a robotic platform as an innovative strategy to enhance motor function, balance, gait, and overall quality of life for patients grappling with PD.

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通过积极健康老龄化的社交机器人(SI-Robotics)探索舞蹈作为帕金森病治疗方法:技术可行性研究的结果。
背景:帕金森病(PD)是一种以运动症状为特征的进行性神经退行性疾病。最近,舞蹈开始被认为是PD患者的有效干预手段。文献中的一些发现强调了深入探索舞蹈治疗和运动对帕金森病治疗的协同影响的必要性。此外,社交机器人平台配备了先进的互动和感知功能,可以监测患者的姿势,并根据量身定制的提示加强锻炼。目的:介绍积极健康老龄化社会机器人(SI-Robotics)项目的成果,旨在设计一种针对(早期)PD老年人的创新康复方案。因此,本研究旨在评估以舞蹈为基础的康复计划的有效性,该计划由基于人工智能的运动游戏和情境机器人辅助来改善PD患者的运动功能、平衡、步态和生活质量。研究了该系统的可接受性。方法:将本研究设计为SI-Robotics系统的技术可行性试点。本研究招募了20名PD患者。共进行了16次以爱尔兰舞蹈为基础的50分钟康复训练(每周2次,持续8周),每次2例患者。设计的康复过程包括三个主要角色:(1)治疗师,(2)患者,(3)社会互动机器人。为了刺激参与,会议以运动游戏的形式组织,其中化身向患者展示他们应该正确进行以舞蹈为基础的康复锻炼的动作。结果:统计分析显示,在平衡和步态方面,以性能为导向的活动能力评估量表上存在显著差异,同时在短时间物理性能电池、统一帕金森病评定量表- iii和Timed Up and Go测试上也有改善,这表明康复干预对PD运动症状的有效性。对技术接受和使用统一理论子量表的分析为用户的感知和与系统的交互提供了有价值的见解。结论:这项研究强调了将舞蹈疗法与机器人平台上的互动运动相结合的前景,作为一种创新策略,可以增强PD患者的运动功能、平衡、步态和整体生活质量。
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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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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