Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels

Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels

Classification of neurocognitive states from Electroencephalography (EEG) data is complex due to inherent challenges such as noise, non-stationarity, non-linearity, and the high-dimensional and sparse nature of connectivity patterns. Graph-theoretical approaches provide a powerful framework for anal...

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Bibliographic Details
Main Authors: Rashmi N. Muralinath, Vishwambhar Pathak, Prabhat K. Mahanti
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Future Internet
Subjects:
metastable substructures of brain connectivity
GKKE
multichannel EEG
cognitive load states
seizure prediction
cost-sensitive learning optimisation
Online Access:https://www.mdpi.com/1999-5903/17/3/102
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