Subject-specific CNNs on EEG spectrograms reach 80% accuracy detecting A-phases and 72-79% classifying subtypes using only 25% labeled data per person.
Automatic detection of cap on central and fronto-central eeg leads via support vector machines
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A-Phase classification using convolutional neural networks
Subject-specific CNNs on EEG spectrograms reach 80% accuracy detecting A-phases and 72-79% classifying subtypes using only 25% labeled data per person.