PDF(Pubmed)
Abstract：
With 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.
摘要：
随着全球人口老龄化的加剧,痴呆症护理已迅速成为一个主要的社会问题。目前对痴呆的行为和心理症状（BPSD）的诊断依赖于临床访谈，和基于一段时间的行为观察的行为评级量表，但这些方法并不适合于在日常生活中识别BPSD的发生,这对于为痴呆症提供适当的干预措施是必要的，虽然,文献中很少有研究小组对其进行研究。为了解决这些问题,在这项研究中开发了一个由心理认知（Psyco）BPSD模型组成的BPSD监测系统，行为-生理-环境(BePhyEn)BPSD模型，和一个实施平台。PsyCoBPSD模型为护理人员和护理提供者提供BPSD评估支持，虽然BePhyEnBPSD模型为BPSD提供了由24小时家庭监控平台启用的即时警报，以进行早期干预，从而减轻患者和护理人员的负担。通过广泛的文献回顾和规律性确定，生成了用于获取模型的数据。移动机器人被用作提高家庭监控传感器灵敏度的实施平台，并对老年人个体遵循的算法进行了研究。在虚拟家庭环境中的实验表明,机器人可以安全地跟踪虚拟BPSD老年人，可以准确识别BPSD的发生，证明了在家庭环境中进行BPSD建模和识别的可能性。
