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  • 标题:Toward Precision Rehabilitation for Neurological Diseases: Data-Driven Approach to Exergame Personalization
  • 本地全文:下载
  • 作者:Santiago Schez-Sobrino ; David Vallejo ; Carlos Glez-Morcillo
  • 期刊名称:Proceedings
  • 电子版ISSN:2504-3900
  • 出版年度:2019
  • 卷号:31
  • 期号:1
  • 页码:10
  • DOI:10.3390/proceedings2019031010
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:Physical rehabilitation of patients affected by neurological diseases is currently an unmet clinical need due to the high cost of health systems and the impact that rehabilitation has on patients and their families. This paper introduces an approach based on the idea of precision rehabilitation, where personalization of the physical rehabilitation for each patient and accessibility to technological tools that support it are pursued. A general architecture that contemplates functional modules related to multiple work areas and different roles is proposed. One of these modules is related to gamification and delves into the design and development of exergames, defined from a general data model, in order to increase the level of patient motivation when exercising. The paper discusses the creation and evaluation of an exergame designed for the rehabilitation of lower limbs.
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