Open AccessANALYSIS OF THE CORRELATION BETWEEN MUSCLE REACTION AND STRIDE INTERVAL VARIABILITY IN SINGLE-TASK AND DUAL-TASK WALKING
Author(s) -
Norazryana Mat Dawi,
Balamurali Ramakrishnan,
Filip Maly,
Kamil Kuča,
Hamidreza Namazi
Publication year - 2021
Publication title -
fractals
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 44
eISSN - 1793-6543
pISSN - 0218-348X
DOI - 10.1142/s0218348x21502728
Subject(s) - stride , gait , physical medicine and rehabilitation , detrended fluctuation analysis , task (project management) , correlation , sample entropy , mathematics , leg muscle , interval (graph theory) , computer science , pattern recognition (psychology) , artificial intelligence , medicine , engineering , geometry , systems engineering , combinatorics , scaling
Analysis of leg muscle activation and gait variability during locomotion is an important area of research in physiological and sport sciences. In this paper, we analyzed the coupling between the alterations of leg muscle activation and gait variability in single-task and dual-task walking. Since leg muscle activation in the form of electromyogram (EMG) signals and gait variability in the form of stride interval time series have complex structures, fractal theory and approximate entropy were used to evaluate their correlation at various walking conditions. Sixty subjects walked at their preferred speed for 10 min under the single-task condition and for 90[Formula: see text]s under the cognitive dual-task condition, and we evaluated the variations of the fractal dimension and approximate entropy of EMG signals and stride interval time series. According to the results, dual-task walking caused reductions in the complexity of EMG signals and stride interval time series than single-task walking. This technique can be used to evaluate the correlation between other organs during different locomotion.