TY  - JOUR
PY  - 2017//
TI  - Flexible detection of fall events using bidirectional EMG sensor
JO  - Studies in health technology and informatics
A1  - Han, Hao
A1  - Ma, Xiaojun
A1  - Oyama, Keizo
SP  - e1225
EP  - e1225
VL  - 245
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0926-9630
UR  - http://dx.doi.org/
ID  - ref1
ER  -