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

@article{Chang2013eFurnitureFH,
  title={eFurniture for home-based frailty detection using artificial neural networks and wireless sensors.},
  author={Yu-Chuan Chang and Chung-Chih Lin and Pei-Hsin Lin and Chun-Chang Chen and Ren-Guey Lee and Jing-Siang Huang and Tsai-Hsuan Tsai},
  journal={Medical engineering & physics},
  year={2013},
  volume={35 2},
  pages={
          263-8
        }
}
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 slowness in movement, weakness and weight loss; (3) an ePad to measure the subject's balancing ability; (4) an eReach to measure body extension; and (5) a Home-based Information Gateway, which collects all the… CONTINUE READING
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Technology-based measurements for screening, monitoring and preventing frailty

  • Zeitschrift für Gerontologie und Geriatrie
  • 2016
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