163 related articles for article (PubMed ID: 34321991)
1. EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal.
Fan J; Sun C; Long M; Chen C; Chen W
Front Neurosci; 2021; 15():573194. PubMed ID: 34321991
[TBL] [Abstract][Full Text] [Related]
2. A hierarchical sequential neural network with feature fusion for sleep staging based on EOG and RR signals.
Sun C; Chen C; Fan J; Li W; Zhang Y; Chen W
J Neural Eng; 2019 Oct; 16(6):066020. PubMed ID: 31394522
[TBL] [Abstract][Full Text] [Related]
3. An End-to-End Multi-Channel Convolutional Bi-LSTM Network for Automatic Sleep Stage Detection.
Toma TI; Choi S
Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430865
[TBL] [Abstract][Full Text] [Related]
4. The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods.
Zhu H; Fu C; Shu F; Yu H; Chen C; Chen W
Bioengineering (Basel); 2023 May; 10(5):. PubMed ID: 37237643
[TBL] [Abstract][Full Text] [Related]
5. MaskSleepNet: A Cross-Modality Adaptation Neural Network for Heterogeneous Signals Processing in Sleep Staging.
Zhu H; Zhou W; Fu C; Wu Y; Shen N; Shu F; Yu H; Chen W; Chen C
IEEE J Biomed Health Inform; 2023 May; 27(5):2353-2364. PubMed ID: 37028323
[TBL] [Abstract][Full Text] [Related]
6. Automatic Sleep Stage Classification Using Temporal Convolutional Neural Network and New Data Augmentation Technique from Raw Single-Channel EEG.
Khalili E; Mohammadzadeh Asl B
Comput Methods Programs Biomed; 2021 Jun; 204():106063. PubMed ID: 33823315
[TBL] [Abstract][Full Text] [Related]
7. Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds.
Jiang D; Ma Y; Wang Y
Comput Methods Programs Biomed; 2019 Sep; 178():19-30. PubMed ID: 31416548
[TBL] [Abstract][Full Text] [Related]
8. Sleep stage classification using single-channel EOG.
Rahman MM; Bhuiyan MIH; Hassan AR
Comput Biol Med; 2018 Nov; 102():211-220. PubMed ID: 30170769
[TBL] [Abstract][Full Text] [Related]
9. Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.
Zhang J; Yao R; Ge W; Gao J
Comput Methods Programs Biomed; 2020 Jan; 183():105089. PubMed ID: 31586788
[TBL] [Abstract][Full Text] [Related]
10. SleepContextNet: A temporal context network for automatic sleep staging based single-channel EEG.
Zhao C; Li J; Guo Y
Comput Methods Programs Biomed; 2022 Jun; 220():106806. PubMed ID: 35461126
[TBL] [Abstract][Full Text] [Related]
11. Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals.
Li W; Gao J
PeerJ Comput Sci; 2023; 9():e1561. PubMed ID: 37810362
[TBL] [Abstract][Full Text] [Related]
12. A Novel Sleep Staging Network Based on Data Adaptation and Multimodal Fusion.
Duan L; Li M; Wang C; Qiao Y; Wang Z; Sha S; Li M
Front Hum Neurosci; 2021; 15():727139. PubMed ID: 34690720
[TBL] [Abstract][Full Text] [Related]
13. A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning.
Sun C; Chen C; Li W; Fan J; Chen W
IEEE J Biomed Health Inform; 2020 May; 24(5):1351-1366. PubMed ID: 31478877
[TBL] [Abstract][Full Text] [Related]
14. A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals.
Yildirim O; Baloglu UB; Acharya UR
Int J Environ Res Public Health; 2019 Feb; 16(4):. PubMed ID: 30791379
[TBL] [Abstract][Full Text] [Related]
15. Sleep staging classification based on a new parallel fusion method of multiple sources signals.
Hei Y; Yuan T; Fan Z; Yang B; Hu J
Physiol Meas; 2022 Apr; 43(4):. PubMed ID: 35381584
[No Abstract] [Full Text] [Related]
16. A Deep Transfer Learning Framework for Sleep Stage Classification with Single-Channel EEG Signals.
ElMoaqet H; Eid M; Ryalat M; Penzel T
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433422
[TBL] [Abstract][Full Text] [Related]
17. Automatic sleep stage classification based on a two-channel electrooculogram and one-channel electromyogram.
Li Y; Xu Z; Zhang Y; Cao Z; Chen H
Physiol Meas; 2022 Jul; 43(7):. PubMed ID: 35487205
[No Abstract] [Full Text] [Related]
18. Mixed-Input Deep Learning Approach to Sleep/Wake State Classification by Using EEG Signals.
Hasan MN; Koo I
Diagnostics (Basel); 2023 Jul; 13(14):. PubMed ID: 37510104
[TBL] [Abstract][Full Text] [Related]
19. Deep convolutional neural network for classification of sleep stages from single-channel EEG signals.
Mousavi Z; Yousefi Rezaii T; Sheykhivand S; Farzamnia A; Razavi SN
J Neurosci Methods; 2019 Aug; 324():108312. PubMed ID: 31201824
[TBL] [Abstract][Full Text] [Related]
20. Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.
Korkalainen H; Aakko J; Nikkonen S; Kainulainen S; Leino A; Duce B; Afara IO; Myllymaa S; Toyras J; Leppanen T
IEEE J Biomed Health Inform; 2020 Jul; 24(7):2073-2081. PubMed ID: 31869808
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]