학술논문
KINOPTIM: The medical business intelligence module for fall prevention of the elderly
Document Type
Conference
Author
Source
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Bioinformatics and Bioengineering (BIBE), 2015 IEEE 15th International Conference on. :1-4 Nov, 2015
Subject
Language
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.