eFurniture for home-based frailty detection using artificial neural networks and wireless sensors

• Published in: Medical engineering & physics Vol. 35; no. 2; pp. 263 - 268
• Main Authors: Chang, Yu-Chuan, Lin, Chung-Chih, Lin, Pei-Hsin, Chen, Chun-Chang, Lee, Ren-Guey, Huang, Jing-Siang, Tsai, Tsai-Hsuan
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.02.2013
• Subjects: Aged; Artificial neural networks; Expert Testimony; Female; Frail Elderly; Frailty; Housing; Humans; Interior Design and Furnishings; Male; Monitoring, Physiologic - instrumentation; Neural Networks (Computer); Radiology; Telemedicine - instrumentation; Wireless sensor technologies; Wireless Technology - instrumentation; Wireless sensor technologies; Frailty; Artificial neural networks

The purpose of this study is to integrate wireless sensor technologies and artificial neural networks to develop a system to manage personal frailty information automatically. The system consists of five parts: (1) an eScale to measure the subject's reaction time; (2) an eChair to detect slowne...