Effect of data length on time delay and embedding dimension for calculating the Lyapunov exponent in walking.

ABSTRACT: The Lyapunov exponent (LyE) is a trending measure for characterizing gait stability. Previous studies have shown that data length has an effect on the resultant LyE, but the origin of why it changes is unknown. This study investigates if data length affects the choice of time delay and embedding dimension when reconstructing the phase space, which is a requirement for calculating the LyE. The effect of three different preprocessing methods on reconstructing the gait attractor was also investigated. Lumbar accelerometer data were collected from 10 healthy subjects walking on a treadmill at their preferred walking speed for 30 min. Our results show that time delay was not sensitive to the amount of data used during calculation. However, the embedding dimension had a minimum data requirement

SUBMITTER: Hussain VS 

PROVIDER: S-EPMC7423422 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature