Sleeptransformer: Automatic sleep staging with interpretability and uncertainty quantification
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 …
based automatic sleep scoring from being used in clinical environments. Methods: Towards …
Current status and prospects of automatic sleep stages scoring
The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual
procedure requires considerable human and financial resources, and incorporates some …
procedure requires considerable human and financial resources, and incorporates some …
Transformers in biosignal analysis: A review
Transformer architectures have become increasingly popular in healthcare applications.
Through outstanding performance in natural language processing and superior capability to …
Through outstanding performance in natural language processing and superior capability to …
Multi-modal physiological signals based squeeze-and-excitation network with domain adversarial learning for sleep staging
Sleep staging is the basis of sleep medicine for diagnosing psychiatric and
neurodegenerative diseases. However, the existing sleep staging methods ignore the fact …
neurodegenerative diseases. However, the existing sleep staging methods ignore the fact …
Spotlight on sleep stage classification based on EEG
I Lambert, L Peter-Derex - Nature and Science of Sleep, 2023 - Taylor & Francis
The recommendations for identifying sleep stages based on the interpretation of
electrophysiological signals (electroencephalography [EEG], electro-oculography [EOG] …
electrophysiological signals (electroencephalography [EEG], electro-oculography [EOG] …
[PDF][PDF] Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG.
Sleep stage classification is of great significance to the diagnosis of sleep disorders.
However, existing sleep stage classification models based on deep learning are usually …
However, existing sleep stage classification models based on deep learning are usually …
Distillsleepnet: Heterogeneous multi-level knowledge distillation via teacher assistant for sleep staging
Accurate sleep staging is crucial for the diagnosis of diseases such as sleep disorders.
Existing sleep staging models with excellent performance are usually large and require a lot …
Existing sleep staging models with excellent performance are usually large and require a lot …
MMASleepNet: A multimodal attention network based on electrophysiological signals for automatic sleep staging
Z Yubo, L Yingying, Z Bing, Z Lin, L Lei - Frontiers in Neuroscience, 2022 - frontiersin.org
Pandemic-related sleep disorders affect human physical and mental health. The artificial
intelligence (AI) based sleep staging with multimodal electrophysiological signals help …
intelligence (AI) based sleep staging with multimodal electrophysiological signals help …
SeriesSleepNet: an EEG time series model with partial data augmentation for automatic sleep stage scoring
Introduction: We propose an automatic sleep stage scoring model, referred to as
SeriesSleepNet, based on convolutional neural network (CNN) and bidirectional long short …
SeriesSleepNet, based on convolutional neural network (CNN) and bidirectional long short …
Survey of transfer learning approaches in the machine learning of digital health sensing data
L Chato, E Regentova - Journal of Personalized Medicine, 2023 - mdpi.com
Machine learning and digital health sensing data have led to numerous research
achievements aimed at improving digital health technology. However, using machine …
achievements aimed at improving digital health technology. However, using machine …