@article{ref1,
title="Flexible detection of fall events using bidirectional EMG sensor",
journal="Studies in health technology and informatics",
year="2017",
author="Han, Hao and Ma, Xiaojun and Oyama, Keizo",
volume="245",
number="",
pages="e1225-e1225",
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.<p /> <p>Language: en</p>",
language="en",
issn="0926-9630",
doi="",
url="http://dx.doi.org/"
}