Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing

Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing

IntroductionModern consciousness research has developed diagnostic tests to improve the diagnostic accuracy of different states of consciousness via electroencephalography (EEG)-based mental motor imagery (MI), which is still challenging and lacks a consensus on how to best analyse MI EEG-data. An o...

Full description

Bibliographic Details
Main Authors: Martin Justinus Rosenfelder, Myra Spiliopoulou, Burkhard Hoppenstedt, Rüdiger Pryss, Patrick Fissler, Mario della Piedra Walter, Iris-Tatjana Kolassa, Andreas Bender
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Computational Neuroscience
Subjects:
motor-imagery
encephalography
machine learning
support vector machine
k-nearest neighbors
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2023.1142948/full

Internet

https://www.frontiersin.org/articles/10.3389/fncom.2023.1142948/full

Similar Items