Electroencephalogram signals classification for sleep-state decision – a Riemannian geometry approach
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2011.0234?crawler=true&mimetype=application/pdf
Reference49 articles.
1. EEG signal classification based on a Riemannian distance measure
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3. Principal Component Analysis-Enhanced Cosine Radial Basis Function Neural Network for Robust Epilepsy and Seizure Detection
4. Electroencephalographic spectral asymmetry index for detection of depression
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