KINOPTIM: The medical business intelligence module for fall prevention of the elderly

Ioannis N. Kouris, C. Tsirbas, T. Tagaris, E. Vellidou, P. Vartholomeos, Stamatia Rizou, D. Koutsouris
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引用次数: 3

Abstract

The independence and the maintenance of the autonomy of the elderly promotes the self-care and the quality of living of the long-lived population. With the aid of Information and Communication Technologies (ICT), KINOPTIM project develops a tele-monitoring solution to be used by the elderly in their home environment in order to reduce the risk of falls by remotely monitoring the mobility of the persons through a series of interactive virtual reality games defined by clinicians. Data acquired by optical and motion sensors are fused to evaluate the mobility status of the senior and are processed by the Medical Business Intelligence (MBI) module of KINOPTIM platform, to assist the identification of symptomatic functional features, that decrease person's mobility status over time, and help to decide for proactive or active interventions. This paper focuses on the progress of the development of MBI module and the integration with the KINOPTIM platform.
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KINOPTIM:老年人预防跌倒的医疗商业智能模块
老年人的独立性和自主性的维持促进了长寿人口的自我照顾和生活质量。在信息和通信技术(ICT)的帮助下,KINOPTIM项目开发了一种远程监测解决方案,供老年人在其家庭环境中使用,通过临床医生定义的一系列交互式虚拟现实游戏远程监测人们的行动能力,以减少跌倒的风险。通过融合光学和运动传感器获取的数据来评估老年人的活动状态,并由KINOPTIM平台的医疗商业智能(MBI)模块进行处理,以帮助识别症状性功能特征,随着时间的推移减少人们的活动状态,并帮助决定主动或主动干预。本文重点介绍了MBI模块的开发进展以及与KINOPTIM平台的集成。
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