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@article{1781198,
author = {Namazi, Hamidreza},
article_location = {England},
article_number = {Aug 2021},
doi = {http://dx.doi.org/10.1016/j.bspc.2021.102956},
keywords = {Muscle reaction; Gait variability; WalkingComplexity; Fractal theory; Sample entropy},
language = {eng},
issn = {1746-8094},
journal = {Biomedical Signal Processing and Control},
title = {Complexity-based analysis of the correlation between stride interval variability and muscle reaction at different walking speeds},
url = {http://www.sciencedirect.com/science/article/pii/S174680942100553X?via%3Dihub},
volume = {69},
year = {2021}
}
TY - JOUR
ID - 1781198
AU - Namazi, Hamidreza
PY - 2021
TI - Complexity-based analysis of the correlation between stride interval variability and muscle reaction at different walking speeds
JF - Biomedical Signal Processing and Control
VL - 69
IS - Aug 2021
SP - nestránkováno
EP - nestránkováno
PB - Elsevier
SN - 17468094
KW - Muscle reaction
KW - Gait variability
KW - WalkingComplexity
KW - Fractal theory
KW - Sample entropy
UR - http://www.sciencedirect.com/science/article/pii/S174680942100553X?via%3Dihub
N2 - In this research, for the first time, we evaluated the correlation between the variations of leg muscle reaction and gait at different walking speeds. Since leg muscle reaction in the form of Electromyogram (EMG) signals and stride interval time series (as gait variability) have complex structures, we utilized fractal theory and sample entropy to decode their alterations at different walking speeds. Twenty-two subjects walked at three different speeds (slow, comfortable, and fast) in six trials, and we analyzed the fractal dimension and sample entropy of EMG signals and stride interval time series. Based on the results, increasing the walking speed causes lower complexity in EMG signals and stride interval time series. Besides, strong correlations were found among the changes in the complexity of EMG signals and stride interval time series at different walking speeds. This method can be applied to analyze the correlation between other complex physiological signals of humans (e.g., EEG and ECG) during walking and running.
ER -
NAMAZI, Hamidreza. Complexity-based analysis of the correlation between stride interval variability and muscle reaction at different walking speeds. \textit{Biomedical Signal Processing and Control}. England: Elsevier, 2021, roč.~69, Aug 2021, s.~nestránkováno, 13 s. ISSN~1746-8094. Dostupné z: https://dx.doi.org/10.1016/j.bspc.2021.102956.
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