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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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