Data-Driven EEG Band Discovery with Decision Trees

Data-Driven EEG Band Discovery with Decision Trees

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: Shawhin Talebi, John Waczak, Bharana A. Fernando, Arjun Sridhar, David J. Lary
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
electroencephalography (EEG)
EEG bands
decision tree
machine learning
Online Access:https://www.mdpi.com/1424-8220/22/8/3048

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https://www.mdpi.com/1424-8220/22/8/3048

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