BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 37289607)

  • 1. MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG.
    Dai Y; Li X; Liang S; Wang L; Duan Q; Yang H; Zhang C; Chen X; Li L; Li X; Liao X
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4204-4215. PubMed ID: 37289607
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Spatial-Temporal Transformer Architecture Using Multi-Channel Signals for Sleep Stage Classification.
    Yao H; Liu T; Zou R; Ding S; Xu Y
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():3353-3362. PubMed ID: 37578925
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning.
    Shi J; Liu X; Li Y; Zhang Q; Li Y; Ying S
    J Neurosci Methods; 2015 Oct; 254():94-101. PubMed ID: 26192325
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Sleep staging algorithm based on multichannel data adding and multifeature screening.
    Huang W; Guo B; Shen Y; Tang X; Zhang T; Li D; Jiang Z
    Comput Methods Programs Biomed; 2020 Apr; 187():105253. PubMed ID: 31812884
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. An effective hybrid feature selection using entropy weight method for automatic sleep staging.
    Wang W; Li J; Fang Y; Zheng Y; You F
    Physiol Meas; 2023 Oct; 44(10):. PubMed ID: 37783214
    [No Abstract]   [Full Text] [Related]  

  • 8. Multi-Modal Sleep Stage Classification With Two-Stream Encoder-Decoder.
    Zhang Z; Lin BS; Peng CW; Lin BS
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():2096-2105. PubMed ID: 38848223
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. [Multi-modal physiological time-frequency feature extraction network for accurate sleep stage classification].
    Hu K; Chen J; Zhang P; Xue W; Xie J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Feb; 41(1):26-33. PubMed ID: 38403601
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Automatic sleep scoring with LSTM networks: impact of time granularity and input signals.
    Tăuțan AM; Rossi AC; Ionescu B
    Biomed Tech (Berl); 2022 Aug; 67(4):267-281. PubMed ID: 35660133
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. A rule-based automatic sleep staging method.
    Liang SF; Kuo CE; Hu YH; Cheng YS
    J Neurosci Methods; 2012 Mar; 205(1):169-76. PubMed ID: 22245090
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A rule-based automatic sleep staging method.
    Liang SF; Kuo CE; Hu YH; Cheng YS
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6067-70. PubMed ID: 22255723
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study.
    Najdi S; Gharbali AA; Fonseca JM
    Biomed Eng Online; 2017 Aug; 16(Suppl 1):78. PubMed ID: 28830438
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Intelligent automatic sleep staging model based on CNN and LSTM.
    Zhuang L; Dai M; Zhou Y; Sun L
    Front Public Health; 2022; 10():946833. PubMed ID: 35968483
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series.
    Chambon S; Galtier MN; Arnal PJ; Wainrib G; Gramfort A
    IEEE Trans Neural Syst Rehabil Eng; 2018 Apr; 26(4):758-769. PubMed ID: 29641380
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Influence of Channel Selection and Subject's Age on the Performance of the Single Channel EEG-Based Automatic Sleep Staging Algorithms.
    Nazih W; Shahin M; Eldesouki MI; Ahmed B
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679711
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.