Fall incidents and the sustained injuries represent the main causes of accidents for elderly people, and also the third cause of chronic disability. The rapid detection of a fall event can reduce the mortality risk, avoiding also the aggravation of injuries. In this paper an embedded healthcare system based on a microwave radar is presented. A Continuous Wave (CW) Doppler radar is used to detect the changes in speed of different persons experienced during daily activities, namely falling and normal/random movements. The resulted speed signals are then processed in real-time by a digital signal processor (DSP) in order to detect fall incidents. Experimental results, conducted on real human volunteers in a real room.
Healthcare System for Non-Invasive Fall Detection in Indoor Environment / Mercuri, M., Garripoli, C., Karsmakers, P., Soh, P.J., Vandenbosch, G.A.E., Pace, C., Leroux, P., Schreurs, D.. - 351:(2015), pp. 145-152. (APPLEPIES 2014 - Applications in Electronics Pervading Industry, Environment & Society Roma 5-6 Maggio 2014) [10.1007/978-3-319-20227-3_19].
Healthcare System for Non-Invasive Fall Detection in Indoor Environment
Mercuri M
;
2015-01-01
Abstract
Fall incidents and the sustained injuries represent the main causes of accidents for elderly people, and also the third cause of chronic disability. The rapid detection of a fall event can reduce the mortality risk, avoiding also the aggravation of injuries. In this paper an embedded healthcare system based on a microwave radar is presented. A Continuous Wave (CW) Doppler radar is used to detect the changes in speed of different persons experienced during daily activities, namely falling and normal/random movements. The resulted speed signals are then processed in real-time by a digital signal processor (DSP) in order to detect fall incidents. Experimental results, conducted on real human volunteers in a real room.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
