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%.
|Title of host publication||2010 Annual International Conference of the IEEE Engineering in Medicine and Biology|
|Publication status||Published - 1 Jan 2010|
|Event||2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Buenos Aires, Argentina|
Duration: 31 Aug 2010 → 4 Sep 2010
|Conference||2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society|
|Abbreviated title||EMCB 2010|
|Period||31/08/10 → 4/09/10|