348 citations · 636 across the 8 of their papers we have counts for
3 papers · 1 filter
Feature matching as improved transfer learning technique for wearable EEG
Elisabeth R. M. Heremans, Huy Phan, Amir H. Ansari +4
Objective: With the rapid rise of wearable sleep monitoring devices with non-conventional electrode configurations, there is a need for automated algorithms that can perform sleep…
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions
Huy Phan, Kaare Mikkelsen
Modern deep learning holds a great potential to transform clinical practice on human sleep. Teaching a machine to carry out routine tasks would be a tremendous reduction in workloa…
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
Huy Phan, Kaare Mikkelsen, Oliver Y. Chén +3
Background: Black-box skepticism is one of the main hindrances impeding deep-learning-based automatic sleep scoring from being used in clinical environments. Methods: Towards inter…