Modeling and mobile home monitoring of behavioral and psychological symptoms of dementia (BPSD)

BMC Psychiatry - Tập 24 Số 1
Hongmei Yuan1, Yang Tian-yi1, Qingyun Xie1,2, Guilhem Lledos3, Wen-Huei Chou4, Wenwei Yu5
1Department of Medical Engineering, Chiba University, Chiba, Japan.
2Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China
3UPSSITECH - Paul Sabatier University of Toulouse, Toulouse, France.
4Department of Digital Media Design, National Yunlin University of Science and Technology, Yunlin, Taiwan.
5Department of Medical Engineering, Chiba University, Chiba, Japan. [email protected].

Tóm tắt

AbstractWith the increasing global aging population, dementia care has rapidly become a major social problem. Current diagnosis of Behavior and Psychological Symptoms of Dementia (BPSD) relies on clinical interviews, and behavioral rating scales based on a period of behavior observation, but these methods are not suitable for identification of occurrence of BPSD in the daily living, which is necessary for providing appropriate interventions for dementia, though, has been studied by few research groups in the literature. To address these issues, in this study developed a BPSD monitoring system consisting of a Psycho-Cognitive (PsyCo) BPSD model, a Behavior-Physio-Environment (BePhyEn) BPSD model, and an implementation platform. The PsyCo BPSD model provides BPSD assessment support to caregivers and care providers, while the BePhyEn BPSD model provides instantaneous alerts for BPSD enabled by a 24-hour home monitoring platform for early intervention, and thereby alleviation of burden to patients and caregivers. Data for acquiring the models were generated through extensive literature review and regularity determined. A mobile robot was utilized as the implementation platform for improving sensitivity of sensors for home monitoring, and elderly individual following algorithms were investigated. Experiments in a virtual home environment showed that, a virtual BPSD elderly individual can be followed safely by the robot, and BPSD occurrence could be identified accurately, demonstrating the possibility of modeling and identification of BPSD in home environment.

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BMC Psychiatry

Tập 24 Số 1

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