Pretraining a transformer on EEG and fine-tuning on PPG and respiration improved sleep stage classification accuracy from 67.6 to 76.6 percent in a held-out test set.
Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea,
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Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices
Pretraining a transformer on EEG and fine-tuning on PPG and respiration improved sleep stage classification accuracy from 67.6 to 76.6 percent in a held-out test set.