A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis

Machine learning methods have frequently been applied to electroencephalography (EEG) data. However, while supervised EEG classification is well-developed, relatively few studies have clustered EEG, which is problematic given the potential for clustering EEG to identify novel subtypes or patterns of...

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Veröffentlicht in:	2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Jg. 2023; S. 1 - 4
Hauptverfasser:	Ellis, Charles A., Miller, Robyn L., Calhoun, Vince D.
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2023
Schlagworte:	Brain modeling Cluster Analysis Electric potential Electroencephalography - methods Feature extraction Humans Machine Learning Mental disorders Neurological diseases Representation learning Schizophrenia - diagnosis Training
ISSN:	2694-0604, 2694-0604
Online-Zugang:	Volltext
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