Elderly Falling Distinguish with Empirical Mode Decomposition-Derived Entropy Features
Li‐Wei Chou, Kang-Ming Chang, Yi-Chun Wei, Mei-Kuei Lu · Vide Leaf, Hyderabad eBooks · 2021
Fall risk prediction is an important issue for the elderly.A center of pressure signal, derived from a force plate, is useful for the estimation of body calibration.However, it is still difficult to distinguish elderly people's fall history by using a force plate signal.In this study, older adults with and without a history of falls were recruited to stand still for 60 s on a force plate.Forces in the x, y and z directions (Fx, Fy, and Fz) and center of original signals and EMD-derived signals were extracted.Results showed that features extracted from the raw COP data did not differ significantly between the fall and non-fall groups.There were 10 features extracted using EMD, with significant differences observed among fall and non-fall groups.These included four features from COPx and two features from COPy, Fx and Fz.