The influence of walking speed and effects of signal processing methods on the level of human gait regularity during treadmill walking.

ABSTRACT:

Background

In recent years the use of sample entropy (SampEn) to evaluate the complexity of the locomotor system in human gait data has gained in popularity. However, it has been suggested that SampEn is sensitive to various input parameters and signal preprocessing methods. This study quantified the effects of different temporal and spatial normalization approaches and various lengths of the template vector (m) on SampEn calculations. The discriminatory ability of SampEn was studied by comparing two walking conditions.

Methods

Twenty-three participants (seven males, 55.7 ± 8.5 years, 165.7 ± 7.9 cm, 80.5 ± 16.7 kg) walked on a treadmill with preferred (Vpref) and maximum (Vmax) speed. Data were segmented and resampled (SEGM), resampled and spatially normalized (NORM), resam

SUBMITTER: Brachman A 

PROVIDER: S-EPMC9741790 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature