Data-Driven EEG Band Discovery with Decision Trees

Data-Driven EEG Band Discovery with Decision Trees

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Electroencephalography (EEG) is a brain imaging technique in which electrodes are placed on the scalp. EEG signals are commonly decomposed into frequency bands called delta, theta, alpha, and beta. While these bands have been shown to be useful for characterizing various brain states, their utility...

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Bibliographic Details
Main Authors: Fernando, B.A (Author), Lary, D.J (Author), Sridhar, A. (Author), Talebi, S. (Author), Waczak, J. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Analysis tools
Brain
Brain imaging techniques
Brain mapping
Brain state
Data driven
decision tree
Decision trees
EEG bands
Electroencephalography
electroencephalography (EEG)
Electroencephalography band
Electrophysiology
machine learning
Machine learning
Optimal frequency bands
Optimal number
Power spectrum
Power-spectra
Signal power
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