Gait Coordination Quantification of Thigh-Leg Segments in Sedentary and Active Youngs at Different Speeds Using a Modified Vector Coding Technique

EasyChair Preprint 4575, version 2

Abstract

The aim of the present study was to quantify the variability of segmental coordination, during gait, of young sedentary and active at different speeds (preferred walking speed (PWS), 120% of PWS and 80% of PWS) using the previously reported modified Vector Coding technique, to record the segmental angles. Thirty young people participated in this study, of which 15 practiced physical activities at least an hour a day and three times a week, and 15 were sedentary. For data collec-tion they executed a protocol of one-minute walking on a treadmill at each speed, in a randomized order. For the Thigh-Leg segments, the angles were computed during four phases of the gait (first double support, single support, second double support and swing), in the sagittal plane. The data were ana-lyzed using a customized Matlab code. There were statistical differences for the Thigh-Leg segment pair, with great differ-ences observed in 120% and 80% of VAS for both groups.

Keyphrases: active, variability, vector coding

@booklet{EasyChair:4575,
  author    = {Guilherme De Villa and Fábio Barbosa Rodrigues and Ali Abbasi and Adriano Andrade and Marcus Vieira},
  title     = {Gait Coordination Quantification of Thigh-Leg Segments in Sedentary and Active Youngs at Different Speeds Using a Modified Vector Coding Technique},
  howpublished = {EasyChair Preprint 4575},
  year      = {EasyChair, 2020}}