Surface Electromyography and Electroencephalogram-Based Gait Phase Recognition and Correlations Between Cortical and Locomotor Muscle in the Seven Gait Phases

Surface Electromyography and Electroencephalogram-Based Gait Phase Recognition and Correlations Between Cortical and Locomotor Muscle in the Seven Gait Phases

The classification of gait phases based on surface electromyography (sEMG) and electroencephalogram (EEG) can be used to the control systems of lower limb exoskeletons for the rehabilitation of patients with lower limb disorders. In this study, the slope sign change (SSC) and mean power frequency (M...

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Bibliographic Details
Main Authors: Pengna Wei, Jinhua Zhang, Baozeng Wang, Jun Hong
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Neuroscience
Subjects:
electroencephalogram
surface electromyography
gait phases
pattern recognition
time–frequency cross mutual information
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.607905/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.607905/full

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