Detection of motor imagery based on short-term entropy of time–frequency representations

Detection of motor imagery based on short-term entropy of time–frequency representations

Abstract Background Motor imagery is a cognitive process of imagining a performance of a motor task without employing the actual movement of muscles. It is often used in rehabilitation and utilized in assistive technologies to control a brain–computer interface (BCI). This paper provides a compariso...

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Bibliographic Details
Main Authors: Luka Batistić, Jonatan Lerga, Isidora Stanković
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BioMedical Engineering OnLine
Subjects:
Brain–computer interface
Electroencephalography
Information entropy
Motor imagery
Movement detection
Time–frequency representations
Online Access:https://doi.org/10.1186/s12938-023-01102-1

Internet

https://doi.org/10.1186/s12938-023-01102-1

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