Citation

Bourke AK, Prescher S, Koehler F, Cionca V, Tavares C, Gomis S, Garcia V, Nelson J. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2012; 2012: 248-251.

Copyright

(Copyright © 2012, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/EMBC.2012.6345916

PMID

23365877

Abstract

With the rapidly increasing over 60 and over 80 age groups in society, greater emphasis will be put on technology to detect emergency situations, such as falls, in order to promote independent living. This paper describes the development and deployment of fall-detection, activity classification and energy expenditure algorithms, deployed in a tele-monitoring system. These algorithms were successfully tested in an end-user trial involving 9 elderly volunteers using the system for 28 days.

Language: en