An attention-based temporal convolutional network for rodent sleep stage classification across species, mutants and experimental environments with single-channel electroencephalogram
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DOI: 10.1088/1361-6579/ac7b67
Abstract: Objective. Sleep perturbation by environment, medical procedure and genetic background is under continuous study in biomedical research. Analyzing brain states in animal models such as rodents relies on categorizing electroencephalogram (EEG) recordings. Traditionally, sleep experts… read more here.
Keywords: network; temporal convolutional; eeg; convolutional network ... See more keywords