A novel framework for physical therapy rehabilitation monitoring and assessment in Parkinson disease patients using depth information

Alberto Belmonte-Hernández, T. Theodoridis, M. B. González, Gustavo Hernández-Peñaloza, V. Solachidis, J. J. Ramos, Federico Álvarez, N. Vretos, L. Carrasco, P. Daras
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引用次数: 5

Abstract

Parkinson Disease (PD) is a type of neurodegenerative disease mainly characterised by the progressive declination of motor and cognitive skills. Physical therapies have been shown to be helpful to mitigate the degenerative impact of PD patients by stimulating the patient to maintain activity. However, problems associated to these therapies such as subjective evaluations or lack of accessibility, rise some barriers to professionals and related stakeholders to reach fully functional integrated healthcare systems. In this paper, a novel framework to continuously monitor and assess PD patients in their therapies is presented. This framework is composed of a sensorial system that captures movement information from patients while they perform physical rehabilitation therapies and a tool for processing this information, extracting movement patterns and providing an objective evaluation of the performed exercises. The system has been deployed and tested in a real-world environment with PD patients at different stages of the disease. The evaluation of the system underlined the added value of objective data in measuring patient movement evolution and how this helps in personalizing treatment according to patients needs.
基于深度信息的帕金森病患者物理治疗康复监测与评估新框架
帕金森病(PD)是一种神经退行性疾病,主要表现为运动和认知能力的进行性衰退。物理疗法已被证明有助于减轻PD患者退行性影响,通过刺激患者保持活动。然而,与这些疗法相关的问题,如主观评估或缺乏可及性,为专业人员和相关利益相关者实现功能齐全的综合医疗保健系统带来了一些障碍。在本文中,提出了一个新的框架来持续监测和评估PD患者的治疗。该框架由一个感觉系统和一个工具组成,该系统在患者进行物理康复治疗时捕获患者的运动信息,用于处理这些信息,提取运动模式并对所进行的练习提供客观评估。该系统已在现实环境中与处于不同疾病阶段的PD患者进行了部署和测试。该系统的评估强调了测量患者运动演变的客观数据的附加价值,以及这如何有助于根据患者的需要进行个性化治疗。
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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