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Mixed Neural Network Approach for Temporal Sleep Stage Classification
v1v2v3 (latest)

Mixed Neural Network Approach for Temporal Sleep Stage Classification

IEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2016
15 October 2016
Hao Dong
A. Supratak
W. Pan
Chao Wu
Paul M. Matthews
Wenhan Luo
ArXiv (abs)PDFHTML

Papers citing "Mixed Neural Network Approach for Temporal Sleep Stage Classification"

40 / 40 papers shown
NeuroLingua: A Language-Inspired Hierarchical Framework for Multimodal Sleep Stage Classification Using EEG and EOG
NeuroLingua: A Language-Inspired Hierarchical Framework for Multimodal Sleep Stage Classification Using EEG and EOG
Mahdi Samaee
Mehran Yazdi
Daniel Massicotte
128
0
0
12 Nov 2025
Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution: A Comprehensive Study
Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution: A Comprehensive Study
Zahra Mohammadi
Parnian Fazel
Siamak Mohammadi
86
0
0
06 Aug 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
406
3
0
24 Feb 2025
Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
Tamal K. Dey
Shreyas N. Samaga
474
2
0
22 Feb 2025
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification
Chuhan Zhang
Wei Pan
Cosimo Della Santina
265
1
0
28 Jan 2025
SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging through Selective Domain Alignment
SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging through Selective Domain AlignmentIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Siyuan Zhao
Chenyu Liu
Yi Ding
Xinliang Zhou
155
1
0
08 Jan 2025
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep StagingInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Jingying Ma
Qika Lin
Ziyu Jia
Mengling Feng
AI4TS
379
8
0
21 Aug 2024
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
365
6
0
10 Sep 2023
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep
  Staging
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep StagingIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Huy P Phan
Kristian P. Lorenzen
E. Heremans
Oliver Y. Chén
Minh C. Tran
P. Koch
Alfred Mertins
M. Baumert
Kaare B. Mikkelsen
Marina De Vos
285
69
0
09 Jan 2023
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph
  Learning with Attentive Temporal Aggregation
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal AggregationNeural Networks (NN), 2022
A. Einizade
S. Nasiri
S. H. Sardouie
G. Clifford
225
27
0
09 Dec 2022
Performance and utility trade-off in interpretable sleep staging
Performance and utility trade-off in interpretable sleep staging
Irfan Al-Hussaini
Cassie S. Mitchell
308
4
0
07 Nov 2022
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features
SERF: Interpretable Sleep Staging using Embeddings, Rules, and FeaturesInternational Conference on Information and Knowledge Management (CIKM), 2022
Irfan Al-Hussaini
Cassie S. Mitchell
264
7
0
21 Sep 2022
U-Sleep's resilience to AASM guidelines
U-Sleep's resilience to AASM guidelinesnpj Digital Medicine (NDM), 2022
Luigi Fiorillo
Giuliana Monachino
J. van der Meer
M. Pesce
J. Warncke
Markus H. Schmidt
C. Bassetti
A. Tzovara
Paolo Favaro
F. Faraci
322
41
0
19 Sep 2022
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Toward Interpretable Sleep Stage Classification Using Cross-Modal TransformersIEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2022
Jathurshan Pradeepkumar
Mithunjha Anandakumar
Vinith Kugathasan
Dhinesh Suntharalingham
S. L. Kappel
A. D. Silva
Chamira U. S. Edussooriya
422
54
0
15 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 ScoringBiomedical Signal Processing and Control (BSPC), 2022
Jeroen Van Der Donckt
Jonas Van Der Donckt
Emiel Deprost
N. Vandenbussche
Michael Rademaker
Gilles Vandewiele
Sofie Van Hoecke
283
47
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 architectureIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
H. Niknazar
S. Mednick
208
14
0
11 Jul 2022
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in
  Automated Sleep Scoring
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep ScoringSleep (Sleep), 2022
Luigi Fiorillo
Davide Pedroncelli
Valentina Agostini
Paolo Favaro
F. Faraci
373
17
0
05 Jul 2022
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges,
  and Future Directions
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future DirectionsPhysiological Measurement (Physiol. Meas.), 2021
Huy P Phan
Kaare B. Mikkelsen
272
129
0
03 Nov 2021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain
  Generalization for Sleep Stage Classification
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Ziyu Jia
Youfang Lin
Jing Wang
Xiaojun Ning
Yuanlai He
R. Zhou
Yuhan Zhou
Li-wei H. Lehman
148
217
0
04 Sep 2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with
  Uncertainty Estimates
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty EstimatesIEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2021
Luigi Fiorillo
Paolo Favaro
F. Faraci
334
102
0
24 Aug 2021
SleepTransformer: Automatic Sleep Staging with Interpretability and
  Uncertainty Quantification
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty QuantificationIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021
Huy P Phan
Kaare B. Mikkelsen
Oliver Y. Chén
P. Koch
Alfred Mertins
M. D. Vos
392
261
0
23 May 2021
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Deep Learning in EEG: Advance of the Last Ten-Year Critical PeriodIEEE Transactions on Cognitive and Developmental Systems (TCDS), 2020
Shu Gong
Kaibo Xing
A. Cichocki
Junhua Li
VLM
440
90
0
22 Nov 2020
Inter-database validation of a deep learning approach for automatic
  sleep scoring
Inter-database validation of a deep learning approach for automatic sleep scoringPLoS ONE (PLOS ONE), 2020
D. Álvarez-Estévez
R. Rijsman
309
72
0
22 Sep 2020
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
XSleepNet: Multi-View Sequential Model for Automatic Sleep StagingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Huy P Phan
Oliver Y. Chén
M. Tran
P. Koch
Alfred Mertins
M. D. Vos
AI4TS
492
292
0
08 Jul 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
...
Ekapol Chuangsuwanich
Wei Chen
Huy Phan
Nat Dilokthanakul
Theerawit Wilaiprasitporn
349
1
0
08 Apr 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 ApplicationsIEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2020
Xiaotong Gu
Zehong Cao
A. Jolfaei
Peng Xu
Dongrui Wu
T. Jung
Chin-Teng Lin
237
312
0
28 Jan 2020
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and
  Automated sleep staging
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep stagingIEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2019
Antoine Guillot
F. Sauvet
E. During
Valentin Thorey
655
128
0
31 Oct 2019
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
SLEEPER: interpretable Sleep staging via Prototypes from Expert RulesMachine Learning in Health Care (MLHC), 2019
Irfan Al-Hussaini
Cao Xiao
M. P. M. Brandon Westover
Jimeng Sun
AI4TS
120
21
0
14 Oct 2019
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Towards More Accurate Automatic Sleep Staging via Deep Transfer LearningIEEE Transactions on Biomedical Engineering (IEEE TBME), 2019
Huy P Phan
Oliver Y. Chén
P. Koch
Zongqing Lu
Ian Mcloughlin
Alfred Mertins
M. D. Vos
469
140
0
30 Jul 2019
Addressing database variability in learning from medical data: an
  ensemble-based approach using convolutional neural networks and a case of
  study applied to automatic sleep scoring
Addressing database variability in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring
D. Álvarez-Estévez
Isaac Fernández-Varela
OOD
155
21
0
16 Jun 2019
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent
  Advances and New Frontiers
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
Xiang Zhang
Lina Yao
Xianzhi Wang
Jessica J. M. Monaghan
David Mcalpine
Yu Zhang
3DV
386
145
0
10 May 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
207
14
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
471
1,227
0
16 Jan 2019
DOSED: a deep learning approach to detect multiple sleep micro-events in
  EEG signal
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal
Stanislas Chambon
Valentin Thorey
P. Arnal
Emmanuel Mignot
Alexandre Gramfort
279
74
0
07 Dec 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 StagingIEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2018
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
570
517
0
28 Sep 2018
Addressing Class Imbalance in Classification Problems of Noisy Signals
  by using Fourier Transform Surrogates
Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates
J. Schwabedal
John C. Snyder
Ayse S. Cakmak
S. Nemati
Gari D. Clifford
156
34
0
20 Jun 2018
Joint Classification and Prediction CNN Framework for Automatic Sleep
  Stage Classification
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
413
389
0
16 May 2018
Sleep Stage Classification Based on Multi-level Feature Learning and
  Recurrent Neural Networks via Wearable Device
Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device
Xin Zhang
Weixuan Kou
E. Chang
He Gao
Yubo Fan
Yan Xu
82
84
0
02 Nov 2017
A deep learning architecture for temporal sleep stage classification
  using multivariate and multimodal time series
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Stanislas Chambon
M. Galtier
P. Arnal
G. Wainrib
Alexandre Gramfort
MLAUAI4TS
286
543
0
05 Jul 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw
  Single-Channel EEG
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A. Supratak
Hao Dong
Chao Wu
Wenhan Luo
353
1,143
0
12 Mar 2017
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