24 results on '"Ross, Marco"'
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2. Estimating the severity of obstructive sleep apnea using ECG, respiratory effort and neural networks
3. Performance of cardiorespiratory-based sleep staging in patients using beta blockers
4. Autonomic arousal detection and cardio-respiratory sleep staging improve the accuracy of home sleep apnea tests
5. A sleep stage estimation algorithm based on cardiorespiratory signals derived from a suprasternal pressure sensor
6. A computationally efficient algorithm for wearable sleep staging in clinical populations
7. 0273 Advanced assessment of sleep derived from hypnodensity
8. Overview of the hypnodensity approach to scoring sleep for polysomnography and home sleep testing
9. Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring
10. 0730 Validation studies for scoring polysomnograms and home sleep apnea tests with artificial intelligence: Sleep stage probabilities (hypnodensity) derived from neurological or cardiorespiratory signals
11. A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
12. It is All in the Wrist: Wearable Sleep Staging in a Clinical Population versus Reference Polysomnography
13. 251 Agreement and reliability of a new polysomnography sleep staging algorithm against multiple human scorers
14. 398 Agreement and reliability of a new respiratory event and arousal detection algorithm against multiple human scorers
15. Estimating sleep stages using cardiorespiratory signals: validation of a novel algorithm across a wide range of sleep-disordered breathing severity
16. Impact of cardiorespiratory sleep staging for home sleep apnea testing
17. Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population
18. Sleep stage classification from heart-rate variability using long short-term memory neural networks
19. Sleep EEG characteristics associated with sleep onset misperception
20. Deep learning for scoring sleep based on cardiorespiratory signals as compared to auto and multiple manual sleep scorings based on neurological signals
21. Detection of Nocturnal Scratching Movements in Patients with Atopic Dermatitis Using Accelerometers and Recurrent Neural Networks
22. Exploring Identifiers of Research Articles Related to Food and Disease using Artificial Intelligence
23. A novel actigraphy data analysis tool and its application to identifying the optimal threshold value in three subject populations
24. Computer-Assisted Sleep Classification according to the Standard of the American Academy of Sleep Medicine: Validation Study of the AASM Version of the Somnolyzer 24 × 7
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