These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 33802357)

  • 1. Convolutional Neural Network for Drowsiness Detection Using EEG Signals.
    Chaabene S; Bouaziz B; Boudaya A; Hökelmann A; Ammar A; Chaari L
    Sensors (Basel); 2021 Mar; 21(5):. PubMed ID: 33802357
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG.
    Cui J; Lan Z; Liu Y; Li R; Li F; Sourina O; Müller-Wittig W
    Methods; 2022 Jun; 202():173-184. PubMed ID: 33901644
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel convolutional neural network method for subject-independent driver drowsiness detection based on single-channel data and EEG alpha spindles.
    Houshmand S; Kazemi R; Salmanzadeh H
    Proc Inst Mech Eng H; 2021 Sep; 235(9):1069-1078. PubMed ID: 34028321
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal.
    B VP; Chinara S
    J Neurosci Methods; 2021 Jan; 347():108927. PubMed ID: 32941920
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cross-Subject Zero Calibration Driver's Drowsiness Detection: Exploring Spatiotemporal Image Encoding of EEG Signals for Convolutional Neural Network Classification.
    Paulo JR; Pires G; Nunes UJ
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():905-915. PubMed ID: 33979288
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Driver drowsiness detection methods using EEG signals: a systematic review.
    Hussein RM; Miften FS; George LE
    Comput Methods Biomech Biomed Engin; 2023 Sep; 26(11):1237-1249. PubMed ID: 35983784
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model.
    Majeed F; Shafique U; Safran M; Alfarhood S; Ashraf I
    Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960441
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning.
    Xu Y; Zhong H; Ying S; Liu W; Chen G; Luo X; Li G
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896732
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Vehicle driver drowsiness detection method using wearable EEG based on convolution neural network.
    Zhu M; Chen J; Li H; Liang F; Han L; Zhang Z
    Neural Comput Appl; 2021; 33(20):13965-13980. PubMed ID: 33967397
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition.
    Madanu R; Rahman F; Abbod MF; Fan SZ; Shieh JS
    Math Biosci Eng; 2021 Jun; 18(5):5047-5068. PubMed ID: 34517477
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals.
    Maheshwari D; Ghosh SK; Tripathy RK; Sharma M; Acharya UR
    Comput Biol Med; 2021 Jul; 134():104428. PubMed ID: 33984749
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification and classification of epileptic EEG signals using invertible constant-
    Eltrass AS; Tayel MB; El-Qady AF
    J Neural Eng; 2022 Dec; 19(6):. PubMed ID: 36541556
    [No Abstract]   [Full Text] [Related]  

  • 13. 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]  

  • 14. A portable device for real time drowsiness detection using novel active dry electrode system.
    Tsai PY; Hu W; Kuo TB; Shyu LY
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3775-8. PubMed ID: 19964814
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classification and Reconstruction of Biomedical Signals Based on Convolutional Neural Network.
    Zhu Z; Chen H; Xie S; Hu Y; Chang J
    Comput Intell Neurosci; 2022; 2022():6548811. PubMed ID: 35909845
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A gradient-based automatic optimization CNN framework for EEG state recognition.
    Wang H; Zhu X; Chen P; Yang Y; Ma C; Gao Z
    J Neural Eng; 2022 Jan; 19(1):. PubMed ID: 34883472
    [No Abstract]   [Full Text] [Related]  

  • 17. 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]  

  • 18. Using long short term memory and convolutional neural networks for driver drowsiness detection.
    Quddus A; Shahidi Zandi A; Prest L; Comeau FJE
    Accid Anal Prev; 2021 Jun; 156():106107. PubMed ID: 33848710
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals.
    Khademi Z; Ebrahimi F; Kordy HM
    Comput Biol Med; 2022 Apr; 143():105288. PubMed ID: 35168083
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network.
    Qin X; Niu Y; Zhou H; Li X; Jia W; Zheng Y
    Int J Neural Syst; 2023 Mar; 33(3):2350009. PubMed ID: 36655401
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.