Analysis of human ambulation as a chaotic time-series: with nonlinear dynamics tools

• DOI: 10.1080/10255842.2024.2399023
• Publication Date: 2024-09-04T12:53:46Z
• Authors: Mouaz Al Kouzbary; Hamza Al Kouzbary; Jingjing Liu; Hanie Nadia Shasmin; Nooranida Arifin; Noor Azuan Abu Osman
• Keywords: Dynamics

The aim of the present study is to investigate complexity and stability human ambulation implications on robotic prostheses control systems. Fourteen healthy individuals participate in two experiments, first group run at three different speeds. second ascended descended stairs a five-level building block self-selected speed. All participants completed experiment with seven inertial measurement units wrapped around lower body segments waist. data were analyzed determine fractal dimension, spectral entropy, Lyapunov exponent (LyE). Two methods used calculate long-term LyE, LyE calculated using full size sets. And embedding dimensions Average Mutual Information (AMI) False Nearest Neighbor (FNN) algorithm was find time delay. Besides, approach developed where delay based average period gait cycle adaptive event-based window. values entropy are 0.538 0.575 for running, respectively. degree uncertainty increases short term LyEs tibia orientation have minimum range variation when it comes ascent descent. Using two-way analysis variance we demonstrated effect speed type entropy. Moreover, shown that dimension only changed significantly