A Home-Based Frailty Detection System Using Wireless Sensor Technology with Multimedia Interactive Games

The purpose of this study is to use wireless sensor technologies to develop a system for frailty measurement and detection with multimedia interactive games that allows users to collect and manage their personal frailty information automatically at home. The assessment software we designed is a game-like system, which increases the motivation for participation among the elderly. The system has five components: (1) a series of frailty measurement and detection games, (2) an electronic grip strength meter to measure the subject¡¦s grip strength and reaction time, (3) an electronic pressure pad (with a pressure sensor) to detect slowness in movement, weakness, weight loss and balance impairment, (4) a functional reach measuring instrument to measure body extension, and (5) a Home-based Information Gateway, which collects all of this data and predicts frailty trends. We designed an experiment to test the overall system performance, and, to test the validity and reliability, we compared these tools with traditional frailty measurement methods. The results show that there is a correlation between frailty results from our test and results from the traditional measurement methods. They also show that our system is a high specificity prediction tool that can be used to assess frailty.

[1]  Thuy-Tien L. Dam,et al.  Frailty in Older Men: Prevalence, Progression, and Relationship with Mortality , 2007, Journal of the American Geriatrics Society.

[2]  L. Fried,et al.  Frailty in older adults: evidence for a phenotype. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.

[3]  Wolfgang Kastner,et al.  Multicast communication in wireless home and building automation: ZigBee and DCMP , 2007, 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007).

[4]  Carole A Estabrooks,et al.  Factors contributing to frailty: literature review. , 2006, Journal of advanced nursing.

[5]  Chung-Chih Lin,et al.  A pervasive health monitoring service system based on ubiquitous network technology , 2008, Int. J. Medical Informatics.

[6]  Richard E. Scott,et al.  Moving research into practice: A decision framework for integrating home telehealth into chronic illness care , 2006, Int. J. Medical Informatics.