TY  - JOUR
PY  - 2016//
TI  - A Kalman filter to estimate altitude change during a fall
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Stevens, Michael C.
A1  - Lu, Wei
A1  - Wang, Changhong
A1  - Redmond, Stephen J.
A1  - Lovell, Nigel H.
A1  - Stevens, Michael C.
A1  - Wei Lu, 
A1  - Changhong Wang, 
A1  - Redmond, Stephen J.
A1  - Lovell, Nigel H.
A1  - Wang, Changhong
A1  - Lu, Wei
A1  - Redmond, Stephen J.
A1  - Lovell, Nigel H.
A1  - Stevens, Michael C.
SP  - 5889
EP  - 5892
VL  - 2016
IS  - 
N2  - Barometers have been incorporated into fall detectors in order to enhance the accuracy of fall detection algorithms, however they are power-hungry devices. We present an offline evaluation of a Kalman filter (KF) for estimating the pressure change during a fall that enables low-power operation of the barometer. The KF takes advantage of the fact that a semi-permeable air membrane on a waterproof fall detector enclosure causes a delay in the equilibrium between internal and external enclosure pressure, and this delay enables the barometer to be switched off until a free-fall is detected. We assessed the KF using data obtained from simulated falls and activities of daily living. The KF was able to differentiate between fall and non-fall activities, with the average measured pressure change during a fall of 8 Pa best determined using a delay in pressure equalization of 20 seconds. The KF detected a change in altitude faster than a simple moving average filter (MAF), reaching 66% of its final value before the MAF was able to initialize.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2016.7592068
ID  - ref1
ER  -