<i>MindReader</i>: Unsupervised Classification of Electroencephalographic Data

<i>MindReader</i>: Unsupervised Classification of Electroencephalographic Data

Electroencephalogram (EEG) interpretation plays a critical role in the clinical assessment of neurological conditions, most notably epilepsy. However, EEG recordings are typically analyzed manually by highly specialized and heavily trained personnel. Moreover, the low rate of capturing abnormal even...

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Bibliographic Details
Main Authors: Salvador Daniel Rivas-Carrillo, Evgeny E. Akkuratov, Hector Valdez Ruvalcaba, Angel Vargas-Sanchez, Jan Komorowski, Daniel San-Juan, Manfred G. Grabherr
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
electroencephalography
machine learning
precision medicine
unsupervised learning
Online Access:https://www.mdpi.com/1424-8220/23/6/2971

Internet

https://www.mdpi.com/1424-8220/23/6/2971

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