Principal Components Analysis of EEG Signals for Epileptic Patient Identification

Principal Components Analysis of EEG Signals for Epileptic Patient Identification

According to the behavior of its neuronal connections, it is possible to determine if the brain suffers from abnormalities such as epilepsy. This disease produces seizures and alters the patient’s behavior and lifestyle. Neurologists employ the electroencephalogram (EEG) to diagnose the disease thro...

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Bibliographic Details
Main Authors: Maria Camila Guerrero, Juan Sebastián Parada, Helbert Eduardo Espitia
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Computation
Subjects:
computational intelligence
classification
diseases diagnosis
principal component analysis
Online Access:https://www.mdpi.com/2079-3197/9/12/133

Internet

https://www.mdpi.com/2079-3197/9/12/133

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