TY - GEN
T1 - Towards unobtrusive in vivo monitoring of patients prone to falling
AU - Karely, Joël M.H.
AU - Sendenz, Rachel
AU - Jansseny, Joep E.M.
AU - Savelbergz, H. H.C.M.
AU - Grimm, B.
AU - Heyligers, I. C.
AU - Peetersy, Ralf
AU - Meijerz, Kenneth
PY - 2010
Y1 - 2010
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%.
UR - http://www.scopus.com/inward/record.url?scp=78650848925&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/21096022
U2 - 10.1109/IEMBS.2010.5626232
DO - 10.1109/IEMBS.2010.5626232
M3 - Conference contribution
C2 - 21096022
AN - SCOPUS:78650848925
SN - 9781424441235
T3 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
SP - 5018
EP - 5021
BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
T2 - 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Y2 - 31 August 2010 through 4 September 2010
ER -