TY  - JOUR
PY  - 2014//
TI  - Pilot evaluation of an unobtrusive system to detect falls at nighttime
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Redmond, Stephen J.
A1  - Zhaonan Zhang, 
A1  - Narayanan, Michael R.
A1  - Lovell, Nigel H.
SP  - 1756
EP  - 1759
VL  - 2014
IS  - 
N2  - Research shows that older people (aged 65 years and over) suffer many unintentional indoor falls which often lead to severe injuries. As a result of an increasingly aged population in developed countries, a sizable portion of healthcare funding is consumed in the treatment of fall-related injuries and associated long-term care. Detecting falls soon after they occur can be potentially live saving. In addition, early treatment of fall-related injuries can reduce treatment costs by minimizing health deterioration resulting from long periods spent incapacitated on the floor after a fall (a scenario known as a 'long lie') and decreasing the number of hospital bed-days required. In this study, a previously proposed unobtrusive nighttime fall detection system based on wireless passive infrared sensors and furniture load sensors is evaluated in a pilot study involving three older subjects, monitored for a combined total of 174 days. No falls occurred during the study. The system reported a false alarm rate of 0.53 falls per day, which is comparable with similar unobtrusive and wearable sensor fall detection solutions.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2014.6943948
ID  - ref1
ER  -