Citation

Nguyen TT, Cho MC, Lee TS. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009; 1: 5203-5206.

Affiliation

Department of Biomedical Engineering, College of Medicine, Chungbuk National University, Cheongju, South Korea.

Copyright

(Copyright © 2009, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/IEMBS.2009.5334079

PMID

19964661

Abstract

In our study, we developed a mobile waist-mounted device which can monitor the subject's acceleration signal and detect the fall events in real-time with high accuracy and automatically send an emergency message to a remote server via CDMA module. When fall event happens, the system also generates an alarm sound at 50Hz to alarm other people until a subject can sit up or stand up. A Kionix KXM52-1050 tri-axial accelerometer and a Bellwave BSM856 CDMA standalone modem were used to detect and manage fall events. We used not only a simple threshold algorithm but also some supporting methods to increase an accuracy of our system (nearly 100% in laboratory environment). Timely fall detection can prevent regrettable death due to long-lie effect; therefore increase the independence of elderly people in an unsupervised living environment.

Language: en