{"title":"基于位置感知的失智症跌倒检测系统在嘉南医院常青酒店护理服务中的应用","authors":"Ping Wang, Chin-Shan Chen, Chi-Chi Chuan","doi":"10.1109/BIBE.2016.70","DOIUrl":null,"url":null,"abstract":"According to the Taiwan Alzheimer's Disease Association data released in April 2012, the domestic population of dementia increased annually. Especially, the estimated aging population increased from 248.6 million in 2010 to 784.4 million in 2060, i.e., approximately four persons in 100 have dementia. Thus the dementia care for the elderly became a problem. Recently several programs and subsidy cases were initiated to develop various telemedicine services and care information systems. Accordingly, the present study provides a safety monitoring platform for nursing care service with a wearable vest incorporating accelerometer-based fall detection and message notification service for the elderly with dementia to assist managers improve the care quality in Jianan Hospital. Especially, it aggregates the RFID real-time locating service (RTLS) with GIS (geographic information system) to enhance the precision of real-time accidental detection based on a body posture angle (BPA) measure approach by replacing the existing CCTV system for security monitoring of living area in Evergreen Inn. After the safety monitoring platform was deployed, experimental results showed it can improve the care safety for dementia patients in which the number of patient fall decreased 81% than that of the conventional CCTV monitoring system.","PeriodicalId":377504,"journal":{"name":"2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Location-Aware Fall Detection System for Dementia Care on Nursing Service in Evergreen Inn of Jianan Hospital\",\"authors\":\"Ping Wang, Chin-Shan Chen, Chi-Chi Chuan\",\"doi\":\"10.1109/BIBE.2016.70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to the Taiwan Alzheimer's Disease Association data released in April 2012, the domestic population of dementia increased annually. Especially, the estimated aging population increased from 248.6 million in 2010 to 784.4 million in 2060, i.e., approximately four persons in 100 have dementia. Thus the dementia care for the elderly became a problem. Recently several programs and subsidy cases were initiated to develop various telemedicine services and care information systems. Accordingly, the present study provides a safety monitoring platform for nursing care service with a wearable vest incorporating accelerometer-based fall detection and message notification service for the elderly with dementia to assist managers improve the care quality in Jianan Hospital. Especially, it aggregates the RFID real-time locating service (RTLS) with GIS (geographic information system) to enhance the precision of real-time accidental detection based on a body posture angle (BPA) measure approach by replacing the existing CCTV system for security monitoring of living area in Evergreen Inn. After the safety monitoring platform was deployed, experimental results showed it can improve the care safety for dementia patients in which the number of patient fall decreased 81% than that of the conventional CCTV monitoring system.\",\"PeriodicalId\":377504,\"journal\":{\"name\":\"2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBE.2016.70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2016.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
摘要
台湾阿尔茨海默病协会2012年4月公布的数据显示,国内痴呆症患者数量逐年增加。特别是,预计老年人口将从2010年的2.486亿增加到2060年的7.844亿,即每100人中约有4人患有痴呆症。因此,老年痴呆症的护理成为一个问题。最近启动了几个项目和补贴案例,以发展各种远程医疗服务和护理信息系统。因此,本研究为嘉南医院的老年痴呆患者提供了一个基于加速度计的跌倒检测和信息通知服务的可穿戴背心护理服务安全监控平台,以帮助管理者提高护理质量。特别是将RFID实时定位服务(RTLS)与地理信息系统GIS (geographic information system)相结合,以人体姿态角(BPA)测量方法为基础,取代了常青酒店现有的生活区安全监控CCTV系统,提高了实时事故检测的精度。安全监控平台部署后,实验结果表明,与传统的闭路电视监控系统相比,该安全监控平台可以提高痴呆患者的护理安全性,患者摔倒人数减少81%。
Location-Aware Fall Detection System for Dementia Care on Nursing Service in Evergreen Inn of Jianan Hospital
According to the Taiwan Alzheimer's Disease Association data released in April 2012, the domestic population of dementia increased annually. Especially, the estimated aging population increased from 248.6 million in 2010 to 784.4 million in 2060, i.e., approximately four persons in 100 have dementia. Thus the dementia care for the elderly became a problem. Recently several programs and subsidy cases were initiated to develop various telemedicine services and care information systems. Accordingly, the present study provides a safety monitoring platform for nursing care service with a wearable vest incorporating accelerometer-based fall detection and message notification service for the elderly with dementia to assist managers improve the care quality in Jianan Hospital. Especially, it aggregates the RFID real-time locating service (RTLS) with GIS (geographic information system) to enhance the precision of real-time accidental detection based on a body posture angle (BPA) measure approach by replacing the existing CCTV system for security monitoring of living area in Evergreen Inn. After the safety monitoring platform was deployed, experimental results showed it can improve the care safety for dementia patients in which the number of patient fall decreased 81% than that of the conventional CCTV monitoring system.