Objective The gait signal is now the focus of biomedical research and the analysis of gait signal is helpful to clinical diagnosis and medical research.Methods The Lopez-Mancini-Calbet Divergence (LMCD),the method of complexity analysis is used to calculate ten cases of the complexity of the elderly,young people and patients with Parkinson’s gait signal,and then we detect the experimental data by variance detection.Results The differences among the complexity of the three groups of gait signals are significant.The gait signal complexity of the young people group is higher than that of the elderly people group,and that of the Parkinson’s patient group is the lowest.Conclusions The complexity analysis of gait signal based on LMCD can get the strength of the randomness of human gait signal.
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