Article

Kernel-based Nonlinear Manifold Learning for EEG Channel Selection with Application to Alzheimer’s Disease

2021-10-16

Abstract excerpt

For the characterisation and diagnosis of neurological disorders, dynamical, causal and crossfrequency coupling analysis using the EEG has gained considerable attention. Due to high computational costs in implementing some of these methods, the selection of important EEG channels is crucial. The channel selection method should be able to accommodate non-linear and spatiotemporal interactions among EEG channels. In...

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Literature Corpus work: b56b7643-7fec-56ca-b62d-9896f46bc67b
DOI: 10.1101/2021.10.15.464451

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