Permutation entropy (PE) is a natural measure of the complexity of a dynamic system which boasts robustness to noise and computational efficiency. Since its introduction in 2002, PE has served as a valuable tool for assessing nonlinear systems such as speech signals and EEG signals. In this paper, the suitability of utilizing PE as a new method for characterizing walking gait dynamics is explored. Results obtained by analyzing the medial-lateral center of pressure migration of participants during treadmill walking demonstrate that PE shows good preliminary repeatability. PE shows sensitivity to a change in walking conditions; walk alone vs. addition of a concurrent cognitive task. A highly significant age effect in PE (p<0.001) during dual task walking was observed. Analysis revealed no significant age effect on PE for the walk alone condition.
- Dynamic Systems and Control Division
Investigation of the Suitability of Utilizing Permutation Entropy to Characterize Gait Dynamics
Leverick, G, Szturm, T, & Wu, C. "Investigation of the Suitability of Utilizing Permutation Entropy to Characterize Gait Dynamics." Proceedings of the ASME 2013 Dynamic Systems and Control Conference. Volume 1: Aerial Vehicles; Aerospace Control; Alternative Energy; Automotive Control Systems; Battery Systems; Beams and Flexible Structures; Biologically-Inspired Control and its Applications; Bio-Medical and Bio-Mechanical Systems; Biomedical Robots and Rehab; Bipeds and Locomotion; Control Design Methods for Adv. Powertrain Systems and Components; Control of Adv. Combustion Engines, Building Energy Systems, Mechanical Systems; Control, Monitoring, and Energy Harvesting of Vibratory Systems. Palo Alto, California, USA. October 21–23, 2013. V001T10A003. ASME. https://doi.org/10.1115/DSCC2013-3895
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