SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

5 March 2019

Papers citing "SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach"

18 / 18 papers shown

Title
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions Yueyang Li Weiming Zeng Wenhao Dong Di Han Lei Chen ... Hongjie Yan W. Siok Nizhuan Wang Wai Ting Siok Nizhuan Wang 54 4 0 20 Jul 2024
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging Yan Pei Wei Luo 47 0 0 11 Apr 2024
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging Seungyeon Lee Thai-Hoang Pham Zhao Cheng Ping Zhang 36 0 0 06 Dec 2023
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device Zongyan Yao Xilin Liu 17 15 0 20 Nov 2022
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition Jianchao Lu Yuzhe Tian Shuang Wang Michael Sheng Xianglin Zheng GNN 27 6 0 26 Sep 2022
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
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 27 35 0 15 Jul 2022
Attention mechanisms for physiological signal deep learning: which attention should we take? Seong-A Park Hyung‐Chul Lee Chul-Woo Jung Hyun-Lim Yang 41 5 0 04 Jul 2022
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions Huy P Phan Kaare B. Mikkelsen 19 93 0 03 Nov 2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates Luigi Fiorillo Paolo Favaro F. Faraci 24 79 0 24 Aug 2021
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li Cuntai Guan OOD 24 39 0 09 Jul 2021
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 21 182 0 23 May 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 202 0 28 Jan 2021
TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings Taeheon Lee Jeonghwan Hwang Honggu Lee 35 7 0 10 Sep 2020
Automatic detection of microsleep episodes with deep learning A. Malafeev Anneke Hertig-Godeschalk David R. Schreier J. Skorucak J. Mathis P. Achermann 21 15 0 07 Sep 2020
A Graph-constrained Changepoint Detection Approach for ECG Segmentation Atiyeh Fotoohinasab T. Hocking Fatemeh Afghah 14 7 0 24 Apr 2020
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks Sajad Mousavi Fatemeh Afghah U. Rajendra 16 94 0 12 Feb 2020
A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks Alireza Shamsoshoara M. Khaledi Fatemeh Afghah Abolfazl Razi Jonathan D. Ashdown K. Turck 21 26 0 16 Apr 2019