Citation

Han H, Ma X, Oyama K. Stud. Health Technol. Inform. 2017; 245: e1225.

Affiliation

National Institute of Informatics, Tokyo, Japan.

Copyright

(Copyright © 2017, IOS Press)

DOI

unavailable

PMID

29295312

Abstract

Falling is one of the most serious life-threatening events for the elders, and the growing population of elderly people motivates the development of ICT-based healthcare-oriented solutions for fall detection prevalently. In this poster, a bidirectional EMG (electromyographic) sensor network model is proposed for a more efficient and flexible detection of fall events based on simple communication between users and nursing care staff.

Language: en

Keywords

Electromyographic Sensor; Fall Detection; Healthcare