Subject-specific CNNs on EEG spectrograms reach 80% accuracy detecting A-phases and 72-79% classifying subtypes using only 25% labeled data per person.
Inter-rater reliability of sleep cyclic al- ternating pattern (cap) scoring and validation of a new computer-assisted cap scoring method
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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.