Résumé

Detrended fluctuation analysis (DFA) is the classical method to assess correlation structure among consecutive gait cycles of human walking. DFA has been applied in the context of fall risk in elderly and gait disorders. For accurate results, however, DFA requires long time series of over 500 strides. DFA is therefore mostly restricted to treadmill experiments. In ecological gait monitoring, we recently suggested that DFA could be favorably substituted by analyzing continuous acceleration signal with the attractor complexity index (ACI) method that consists in computing the long-term attractor divergence exponent (DE, maximal Lyapunov exponent, local dynamic stability LDS)

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