12 results on '"Korkalainen H"'
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2. Multi-channel frontal EEG – validation on manual sleep staging in a pediatric cohort
3. Deep Learning Enables Automatic Sleep Staging from Textile Electrode-Based Home Sleep Recordings
4. Deep learning enables accurate automatic sleep staging based on ambulatory forehead EEG
5. The severity and morphology of intermittent hypoxemias are related to impaired daytime alertness
6. Respiratory event type and the presence of desaturation affect the cardiovascular response to respiratory arousals
7. Absolute gamma power of EEG arousal is modulated by respiratory event type and severity in OSA
8. Deep learning enables accurate sleep staging based on a single frontal EEG channel.
9. Neural network analysis of nocturnal SPO2 Signal enables easy screening of sleep apnea in acute stroke and transient ischemic attack patients.
10. Severity Of desaturations reflects obstructive sleep apnea (OSA) related daytime sleepiness better than apnea hypopnea index (AHI).
11. Improved sweat artifact tolerance of screen-printed electrodes by material selection - in vivo comparison of EEG signal quality.
12. Differentiating Sleepy and non-sleepy obstructive sleep apnea patients using nocturnal pulse oximetry and deep learning.
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