TY - JOUR
T1 - Towards unobtrusive in vivo monitoring of patients prone to falling
AU - Karel, J.M.
AU - Senden, R.
AU - Janssen, J.E.
AU - Savelberg, H.H.
AU - Grimm, B.
AU - Heyligers, I.C.
AU - Peeters, Ralf
AU - Meijer, K.
N1 - United States
PY - 2010/1/1
Y1 - 2010/1/1
N2 - Falling is a serious health problem for many elderly. To investigate whether the higher fall incidence in elderly is due to a higher probability of experiencing near falls in daily life, it is necessary to evaluate the stumble incidence of elderly in daily life. Accelerometers are already frequently used for in vivo activity monitoring. The current study investigates whether an ambulant and unobtrusive accelerometer can identify stumbles from treadmill walking using a wavelet based detection approach. Seventy nine healthy subjects walked on a treadmill with a triaxial accelerometer attached at the level of the sacrum. Stumbles were induced using a specially designed braking system (The TRiP). The TRiP evoked 30 stumbles at different phases of the swing phase. A wavelet-based detection algorithm is used to isolate the stumbles from treadmill walking, with a specificity of 99.9% and a sensitivity of 98.4%.
AB - Falling is a serious health problem for many elderly. To investigate whether the higher fall incidence in elderly is due to a higher probability of experiencing near falls in daily life, it is necessary to evaluate the stumble incidence of elderly in daily life. Accelerometers are already frequently used for in vivo activity monitoring. The current study investigates whether an ambulant and unobtrusive accelerometer can identify stumbles from treadmill walking using a wavelet based detection approach. Seventy nine healthy subjects walked on a treadmill with a triaxial accelerometer attached at the level of the sacrum. Stumbles were induced using a specially designed braking system (The TRiP). The TRiP evoked 30 stumbles at different phases of the swing phase. A wavelet-based detection algorithm is used to isolate the stumbles from treadmill walking, with a specificity of 99.9% and a sensitivity of 98.4%.
U2 - 10.1109/IEMBS.2010.5626232
DO - 10.1109/IEMBS.2010.5626232
M3 - Conference article in journal
VL - 1
SP - 5018
EP - 5021
JO - Ieee Engineering in Medicine and Biology Magazine
JF - Ieee Engineering in Medicine and Biology Magazine
SN - 0739-5175
ER -