FetalSleepNet achieves 86.6% accuracy in fetal sleep stage classification from ovine EEG by fine-tuning an adult model with spectral equalisation domain adaptation, outperforming baselines as the first such deep learning system.
Investigation of nonlinear ECoG changes during spontaneous sleep state changes and cortical arousal in fetal sheep
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FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep Stage Classification
FetalSleepNet achieves 86.6% accuracy in fetal sleep stage classification from ovine EEG by fine-tuning an adult model with spectral equalisation domain adaptation, outperforming baselines as the first such deep learning system.