Browsing Electronic Engineering and Computer Science by Subject "Polysomnography"
Now showing items 1-3 of 3
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Automatic sleep staging of EEG signals: recent development, challenges, and future directions.
(2022-04-28)Modern deep learning holds a great potential to transform clinical studies of human sleep. Teaching a machine to carry out routine tasks would be a tremendous reduction in workload for clinicians. Sleep staging, a fundamental ... -
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
(2019-03)Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography epochs one at a time. In this paper, we tackle the task as a ... -
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification.
(2022-08)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 interpretability, this work proposes a ...