[HTML][HTML] Automated sleep stages classification using convolutional neural network from raw and time-frequency electroencephalogram signals: systematic evaluation …
Background Most existing automated sleep staging methods rely on multimodal data, and
scoring a specific epoch requires not only the current epoch but also a sequence of …
scoring a specific epoch requires not only the current epoch but also a sequence of …
[引用][C] Deep learning for automated sleep monitoring
O Tsinalis - 2016 - Imperial College London
Automatic sleep stage scoring with single-channel EEG using convolutional neural networks
We used convolutional neural networks (CNNs) for automatic sleep stage scoring based on
single-channel electroencephalography (EEG) to learn task-specific filters for classification …
single-channel electroencephalography (EEG) to learn task-specific filters for classification …
Automatic sleep scoring using statistical features in the EMD domain and ensemble methods
AR Hassan, MIH Bhuiyan - Biocybernetics and Biomedical Engineering, 2016 - Elsevier
An automatic sleep scoring method based on single channel electroencephalogram (EEG)
is essential not only for alleviating the burden of the clinicians of analyzing a high volume of …
is essential not only for alleviating the burden of the clinicians of analyzing a high volume of …
Decision system integrating preferences to support sleep staging
A Ugon, K Sedki, A Kotti, B Seroussi… - … Complexity in Health …, 2016 - ebooks.iospress.nl
Scoring sleep stages can be considered as a classification problem. Once the whole
recording segmented into 30-seconds epochs, features, extracted from raw signals, are …
recording segmented into 30-seconds epochs, features, extracted from raw signals, are …
Multi-Level Interpretable and Adaptive Representation of EEG Signals for Sleep Scoring Using Ensemble Learning Multi Classifiers
S SenthilPandi, P Kumar… - 2023 International …, 2023 - ieeexplore.ieee.org
The use of electroencephalogram (EEG) data for sleep scoring is critical for the detection
and treatment of sleep disorders. However, accurately classifying different sleep stages …
and treatment of sleep disorders. However, accurately classifying different sleep stages …
Validation of the influence of biosignals on performance of machine learning algorithms for sleep stage classification
J Choi, S Kwon, S Park, S Han - Digital Health, 2023 - journals.sagepub.com
Background Sleep stage identification is critical in multiple areas (eg medicine or
psychology) to diagnose sleep-related disorders. Previous studies have reported that the …
psychology) to diagnose sleep-related disorders. Previous studies have reported that the …
An effective EEG signal-based sleep staging system using machine learning techniques
SK Satapathy, S Thakkar, A Patel… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
Single-channel electroencephalography (EEG) is the most popular choice of sensing
modality in sleep staging studies because it widely conforms to sleep staging guidelines …
modality in sleep staging studies because it widely conforms to sleep staging guidelines …
Expert-in-the-loop Learning for Sleep EEG Data
This work addresses the area of a computer-assisted sleep staging using a standard scalp
EEG recordings and AASM 2012 scoring rules. We focused on real clinical EEG data …
EEG recordings and AASM 2012 scoring rules. We focused on real clinical EEG data …
Learning machines and sleeping brains: automatic sleep stage classification using decision-tree multi-class support vector machines
T Lajnef, S Chaibi, P Ruby, PE Aguera… - Journal of neuroscience …, 2015 - Elsevier
Background Sleep staging is a critical step in a range of electrophysiological signal
processing pipelines used in clinical routine as well as in sleep research. Although the …
processing pipelines used in clinical routine as well as in sleep research. Although the …