A robust method to estimate the largest Lyapunov exponent of noisy signals: A revision to the Rosenstein's algorithm.

Abstract:

:This study proposed a revision to the Rosenstein's method of numerical calculation of the largest Lyapunov exponent (LyE) to make it more robust to noise. To this aim, the effect of increasing number of initial neighboring points on the LyE value was investigated and compared to values obtained by filtering the time series. Both simulated (Lorenz and passive dynamic walker) and experimental (human walking) time series were used to calculate the LyE. The number of initial neighbors used to calculate LyE for all time series was 1 (the original Rosenstein's method), 2, 3, 4, 5, 10, 15, 20, 25, and 30 data points. The results demonstrated that the LyE graph reached a plateau at the 15-point neighboring condition implying that the LyE values calculated using at least 15 neighboring points were consistent. The proposed method could be used to calculate more consistent LyE values in experimental time series acquired from biological systems where noise is omnipresent.

journal_name

J Biomech

journal_title

Journal of biomechanics

authors

Mehdizadeh S

doi

10.1016/j.jbiomech.2019.01.013

subject

Has Abstract

pub_date

2019-03-06 00:00:00

pages

84-91

eissn

0021-9290

issn

1873-2380

pii

S0021-9290(19)30046-6

journal_volume

85

pub_type

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