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Joint Classification and Prediction CNN Framework for Automatic Sleep
  Stage Classification

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

16 May 2018
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
ArXivPDFHTML

Papers citing "Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification"

50 / 51 papers shown
Title
PSG-MAE: Robust Multitask Sleep Event Monitoring using Multichannel PSG Reconstruction and Inter-channel Contrastive Learning
PSG-MAE: Robust Multitask Sleep Event Monitoring using Multichannel PSG Reconstruction and Inter-channel Contrastive Learning
Yifei Wang
Qi Liu
Fuli Min
Honghao Wang
22
0
0
17 Apr 2025
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Jiahe Li
Xin Chen
Fanqi Shen
Junru Chen
Y. Liu
Daoze Zhang
Zhizhang Yuan
F. Zhao
Meng Li
Yang Yang
36
0
0
24 Feb 2025
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
Younghoon Na
Hyun Keun Ahn
Hyun-Kyung Lee
Yoongeol Lee
Seung Hun Oh
Hongkwon Kim
Jeong-Gun Lee
45
0
0
13 Feb 2025
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging
Jingyuan Chen
Yuan Yao
Mie Anderson
Natalie Hauglund
Celia Kjaerby
Verena Untiet
Maiken Nedergaard
Jiebo Luo
41
1
0
28 Jan 2025
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
Xinliang Zhou
Yuzhe Han
Z. Chen
Chenyu Liu
Yi Ding
Ziyu Jia
Yang Liu
Mamba
37
1
0
03 Nov 2024
MSSC-BiMamba: Multimodal Sleep Stage Classification and Early Diagnosis
  of Sleep Disorders with Bidirectional Mamba
MSSC-BiMamba: Multimodal Sleep Stage Classification and Early Diagnosis of Sleep Disorders with Bidirectional Mamba
Chao Zhang
Weirong Cui
Jingjing Guo
Mamba
20
3
0
30 May 2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep
  Stage Classification Using Single-Channel EEG
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Cheol-Hui Lee
Hakseung Kim
Hyun-jee Han
Min-Kyung Jung
Byung C. Yoon
Dong-Joo Kim
34
5
0
10 Apr 2024
Domain Invariant Representation Learning and Sleep Dynamics Modeling for
  Automatic Sleep Staging
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
Seungyeon Lee
Thai-Hoang Pham
Zhao Cheng
Ping Zhang
33
0
0
06 Dec 2023
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage
  Classification with Model Interpretability
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
Shivam Kumar Sharma
Suvadeep Maiti
S. Mythirayee
Srijithesh P. Rajendran
R. S. Bapi
12
2
0
10 Sep 2023
SleepEGAN: A GAN-enhanced Ensemble Deep Learning Model for Imbalanced
  Classification of Sleep Stages
SleepEGAN: A GAN-enhanced Ensemble Deep Learning Model for Imbalanced Classification of Sleep Stages
Xuewei Cheng
Kevin Huang
Yishan Zou
Shujie Ma
GAN
AI4TS
11
10
0
04 Jul 2023
Classification of sleep stages from EEG, EOG and EMG signals by SSNet
Classification of sleep stages from EEG, EOG and EMG signals by SSNet
Haifa Almutairi
Ghulam Mubashar Hassan
A. Datta
8
2
0
03 Jul 2023
Approximating DTW with a convolutional neural network on EEG data
Approximating DTW with a convolutional neural network on EEG data
Hugo Lerogeron
Romain Picot-Clémente
A. Rakotomamonjy
L. Heutte
AI4TS
16
0
0
30 Jan 2023
PrecTime: A Deep Learning Architecture for Precise Time Series
  Segmentation in Industrial Manufacturing Operations
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations
S. Gaugel
M. Reichert
AI4TS
21
16
0
27 Jan 2023
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep
  Stage Recognition
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition
Jianchao Lu
Yuzhe Tian
Shuang Wang
Michael Sheng
Xianglin Zheng
GNN
19
6
0
26 Sep 2022
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive
  Learning
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
Seongju Lee
Yeonguk Yu
S. Back
H. Seo
Kyoobin Lee
23
28
0
20 Sep 2022
A Novel Semi-supervised Meta Learning Method for Subject-transfer
  Brain-computer Interface
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface
Jingcong Li
Fei Wang
Haiyun Huang
Feifei Qi
Jiahui Pan
17
31
0
07 Sep 2022
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Jathurshan Pradeepkumar
Mithunjha Anandakumar
Vinith Kugathasan
Dhinesh Suntharalingham
S. L. Kappel
A. D. Silva
Chamira U. S. Edussooriya
31
31
0
15 Aug 2022
Seeing your sleep stage: cross-modal distillation from EEG to infrared
  video
Seeing your sleep stage: cross-modal distillation from EEG to infrared video
Jianan Han
Shenmin Zhang
Aidong Men
Yang Liu
Z. Yao
Yan-Tao Yan
Qingchao Chen
22
4
0
11 Aug 2022
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable
  Techniques Are Competitive to Deep Learning for Sleep Scoring
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
Jeroen Van Der Donckt
Jonas Van Der Donckt
Emiel Deprost
N. Vandenbussche
Michael Rademaker
Gilles Vandewiele
Sofie Van Hoecke
18
35
0
15 Jul 2022
A multi-level interpretable sleep stage scoring system by infusing
  experts' knowledge into a deep network architecture
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture
H. Niknazar
S. Mednick
14
4
0
11 Jul 2022
Multi-Tier Platform for Cognizing Massive Electroencephalogram
Multi-Tier Platform for Cognizing Massive Electroencephalogram
Zheng Chen
Lingwei Zhu
Ziwei Yang
Renyuan Zhang
11
13
0
21 Apr 2022
Automated Sleep Staging via Parallel Frequency-Cut Attention
Automated Sleep Staging via Parallel Frequency-Cut Attention
Zheng Chen
Ziwei Yang
Lingwei Zhu
Wei Chen
T. Tamura
N. Ono
M. Altaf-Ul-Amin
Shigehiko Kanaya
Ming Huang
16
17
0
07 Apr 2022
Adaptive Spike-Like Representation of EEG Signals for Sleep Stages
  Scoring
Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring
Lingwei Zhu
Koki Odani
Ziwei Yang
Guang Shi
Yirong Kan
Zheng Chen
Renyuan Zhang
29
4
0
02 Apr 2022
Effect of Balancing Data Using Synthetic Data on the Performance of
  Machine Learning Classifiers for Intrusion Detection in Computer Networks
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
Ayesha S. Dina
A. Siddique
D. Manivannan
13
52
0
01 Apr 2022
TransSleep: Transitioning-aware Attention-based Deep Neural Network for
  Sleep Staging
TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging
Jaeun Phyo
Wonjun Ko
Eunjin Jeon
Heung-Il Suk
14
30
0
22 Mar 2022
Deep Learning for Sleep Stages Classification: Modified Rectified Linear
  Unit Activation Function and Modified Orthogonal Weight Initialisation
Deep Learning for Sleep Stages Classification: Modified Rectified Linear Unit Activation Function and Modified Orthogonal Weight Initialisation
Akriti Bhusal
Abeer Alsadoon
P. Prasad
Nada Alsalami
Tarik Ahmed Rashid
14
7
0
18 Feb 2022
NFANet: A Novel Method for Weakly Supervised Water Extraction from
  High-Resolution Remote Sensing Imagery
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery
Ming Lu
Leyuan Fang
Muxing Li
Bob Zhang
Yi Zhang
Pedram Ghamisi
29
30
0
10 Jan 2022
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong
Wonjun Ko
A. Mulyadi
Heung-Il Suk
AI4TS
23
8
0
03 Dec 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges,
  and Future Directions
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions
Huy P Phan
Kaare B. Mikkelsen
11
93
0
03 Nov 2021
Self-supervised Contrastive Learning for EEG-based Sleep Staging
Self-supervised Contrastive Learning for EEG-based Sleep Staging
Xue Jiang
Jianhui Zhao
Bo Du
Zhiyong Yuan
8
61
0
16 Sep 2021
Sleep Staging Based on Multi Scale Dual Attention Network
Sleep Staging Based on Multi Scale Dual Attention Network
Huafeng Wang
Chonggang Lu
Qi Zhang
Zhimin Hu
Xiao-yi Yuan
Pingshu Zhang
Tangshan
17
2
0
18 Jul 2021
SleepTransformer: Automatic Sleep Staging with Interpretability and
  Uncertainty Quantification
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
Huy P Phan
Kaare B. Mikkelsen
Oliver Y. Chén
P. Koch
Alfred Mertins
M. D. Vos
13
182
0
23 May 2021
MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging
MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging
Xue Jiang
10
6
0
07 Jan 2021
MSED: a multi-modal sleep event detection model for clinical sleep
  analysis
MSED: a multi-modal sleep event detection model for clinical sleep analysis
Alexander Neergaard Zahid
P. Jennum
Emmanuel Mignot
H. Sørensen
32
10
0
07 Jan 2021
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong
Kaibo Xing
A. Cichocki
Junhua Li
VLM
24
64
0
22 Nov 2020
Automatic sleep stage classification with deep residual networks in a
  mixed-cohort setting
Automatic sleep stage classification with deep residual networks in a mixed-cohort setting
A. N. Olesen
P. Jennum
Emmanuel Mignot
H. Sørensen
13
65
0
21 Aug 2020
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
Huy P Phan
Oliver Y. Chén
M. Tran
P. Koch
Alfred Mertins
M. D. Vos
AI4TS
17
206
0
08 Jul 2020
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation
A. Peimankar
S. Puthusserypady
28
119
0
18 May 2020
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot
  Study with KL-Divergence Regularization
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization
Huy P Phan
Kaare B. Mikkelsen
Oliver Y. Chén
P. Koch
Alfred Mertins
P. Kidmose
M. D. Vos
11
35
0
23 Apr 2020
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based
  Sleep Stage Classifier to New Individual Subject Using Meta-Learning
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul
Pichayoot Ouppaphan
Pitshaporn Leelaarporn
Payongkit Lakhan
Busarakum Chaitusaney
...
E. Chuangsuwanich
Wei Chen
Huy Phan
Nat Dilokthanakul
Theerawit Wilaiprasitporn
11
1
0
08 Apr 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the
  Wild
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal
Scott Freitas
Cao Xiao
Duen Horng Chau
Jimeng Sun
20
22
0
29 Jan 2020
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies
  on Signal Sensing Technologies and Computational Intelligence Approaches and
  their Applications
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Xiaotong Gu
Zehong Cao
A. Jolfaei
Peng Xu
Dongrui Wu
T. Jung
Chin-Teng Lin
23
230
0
28 Jan 2020
U-Time: A Fully Convolutional Network for Time Series Segmentation
  Applied to Sleep Staging
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Mathias Perslev
M. Jensen
S. Darkner
P. Jennum
Christian Igel
AI4TS
22
243
0
24 Oct 2019
Automated Polysomnography Analysis for Detection of Non-Apneic and
  Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM
  Network
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
Ali Bahrami Rad
M. Zabihi
Zheng Zhao
M. Gabbouj
Aggelos K. Katsaggelos
Simo Särkkä
16
17
0
06 Sep 2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Huy P Phan
Oliver Y. Chén
P. Koch
Zongqing Lu
Ian Mcloughlin
Alfred Mertins
M. D. Vos
21
116
0
30 Jul 2019
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with
  Channel Mismatch
Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch
Huy P Phan
Oliver Y. Chén
P. Koch
Alfred Mertins
M. D. Vos
25
35
0
11 Apr 2019
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch
  Features for Automatic Sleep Scoring on Raw Single-channel EEG
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG
H. Seo
S. Back
Seongju Lee
Deokhwan Park
Tae Kim
Kyoobin Lee
10
13
0
18 Feb 2019
Deep learning-based electroencephalography analysis: a systematic review
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy
Hubert J. Banville
Isabela Albuquerque
Alexandre Gramfort
T. Falk
J. Faubert
15
932
0
16 Jan 2019
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography
  Analysis
Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis
Navin Cooray
Fernando Andreotti
Christine Lo
M. Symmonds
M. Hu
M. D. Vos
11
64
0
12 Nov 2018
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for
  Sequence-to-Sequence Automatic Sleep Staging
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
15
414
0
28 Sep 2018
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