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Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments

机译:严肃游戏和云端数据分析,用于康复治疗的虚拟化和个性化

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摘要

During the last years, the significant increase in the number of patients in need of rehabilitation has generated an unsustainable economic impact on healthcare systems, implying a reduction in therapeutic supervision and support for each patient. To address this problem, this paper proposes a telerehabilitation system based on serious games and in-cloud data analytics services, in accordance with Industry 4.0 design principles regarding modularity, service orientation, decentralization, virtualization, and real-time capability. The system, specialized for post-stroke patients, comprises components for real-time acquisition of patient's motor data and a decision support service for their analysis. Raw data, reports, and recommendations are made available on the cloud to clinical operators to remotely assess rehabilitation outcomes and dynamically improve therapies. Furthermore, the results of a pilot study on the clinical impact deriving from the adoption of the proposed solution, and of a qualitative analysis about its acceptance, are presented and discussed.
机译:在过去的几年中,需要康复的患者数量的显着增加对医疗保健系统产生了不可持续的经济影响,这意味着对每个患者的治疗监督和支持减少了。为了解决这个问题,本文根据有关模块化,服务导向,分散,虚拟化和实时功能的工业4.0设计原则,提出了一种基于严肃游戏和云数据分析服务的远程康复系统。该系统专门用于中风后患者,包括用于实时采集患者运动数据的组件以及用于对其分析的决策支持服务。原始数据,报告和建议已在云上提供给临床操作员,以远程评估康复结果并动态改善治疗方法。此外,提出并讨论了对采用所提出的解决方案所产生的临床影响的初步研究结果,以及对其接受性的定性分析。

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