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 *

202 related articles for article (PubMed ID: 31585454)

  • 1. A novel approach of decoding EEG four-class motor imagery tasks via scout ESI and CNN.
    Hou Y; Zhou L; Jia S; Lun X
    J Neural Eng; 2020 Feb; 17(1):016048. PubMed ID: 31585454
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Motor Imagery Signals Classification Method
    Lun X; Liu J; Zhang Y; Hao Z; Hou Y
    Front Neurosci; 2022; 16():865594. PubMed ID: 35615273
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Decoding motor imagery tasks using ESI and hybrid feature CNN.
    Fang T; Song Z; Zhan G; Zhang X; Mu W; Wang P; Zhang L; Kang X
    J Neural Eng; 2022 Feb; 19(1):. PubMed ID: 35078158
    [No Abstract]   [Full Text] [Related]  

  • 4. HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification.
    Dai G; Zhou J; Huang J; Wang N
    J Neural Eng; 2020 Jan; 17(1):016025. PubMed ID: 31476743
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding.
    Li Y; Zhang XR; Zhang B; Lei MY; Cui WG; Guo YZ
    IEEE Trans Neural Syst Rehabil Eng; 2019 Jun; 27(6):1170-1180. PubMed ID: 31071048
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching.
    Yin X; Xu B; Jiang C; Fu Y; Wang Z; Li H; Shi G
    J Neural Eng; 2015 Jun; 12(3):036004. PubMed ID: 25834118
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification task.
    Lashgari E; Ott J; Connelly A; Baldi P; Maoz U
    J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34352734
    [No Abstract]   [Full Text] [Related]  

  • 8. Feature extraction of four-class motor imagery EEG signals based on functional brain network.
    Ai Q; Chen A; Chen K; Liu Q; Zhou T; Xin S; Ji Z
    J Neural Eng; 2019 Apr; 16(2):026032. PubMed ID: 30699389
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification.
    Chiarelli AM; Croce P; Merla A; Zappasodi F
    J Neural Eng; 2018 Jun; 15(3):036028. PubMed ID: 29446352
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Motor imagery EEG discrimination using the correlation of wavelet features.
    Hsu WY
    Clin EEG Neurosci; 2015 Apr; 46(2):94-9. PubMed ID: 24599891
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.
    Tayeb Z; Fedjaev J; Ghaboosi N; Richter C; Everding L; Qu X; Wu Y; Cheng G; Conradt J
    Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626132
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification Algorithm for Electroencephalogram-based Motor Imagery Using Hybrid Neural Network with Spatio-temporal Convolution and Multi-head Attention Mechanism.
    Shi X; Li B; Wang W; Qin Y; Wang H; Wang X
    Neuroscience; 2023 Sep; 527():64-73. PubMed ID: 37517788
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DWT and CNN based multi-class motor imagery electroencephalographic signal recognition.
    Ma X; Wang D; Liu D; Yang J
    J Neural Eng; 2020 Feb; 17(1):016073. PubMed ID: 31972552
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Motor Imagery EEG Classification Using Capsule Networks.
    Ha KW; Jeong JW
    Sensors (Basel); 2019 Jun; 19(13):. PubMed ID: 31252557
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network.
    Zhang K; Robinson N; Lee SW; Guan C
    Neural Netw; 2021 Apr; 136():1-10. PubMed ID: 33401114
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data.
    Ali O; Saif-Ur-Rehman M; Glasmachers T; Iossifidis I; Klaes C
    Comput Biol Med; 2024 Jan; 168():107649. PubMed ID: 37980798
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EEG-CDILNet: a lightweight and accurate CNN network using circular dilated convolution for motor imagery classification.
    Liang T; Yu X; Liu X; Wang H; Liu X; Dong B
    J Neural Eng; 2023 Aug; 20(4):. PubMed ID: 37552978
    [No Abstract]   [Full Text] [Related]  

  • 18. Two-branch 3D convolutional neural network for motor imagery EEG decoding.
    Yang L; Song Y; Jia X; Ma K; Xie L
    J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34311452
    [No Abstract]   [Full Text] [Related]  

  • 19. EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification.
    Zhang C; Kim YK; Eskandarian A
    J Neural Eng; 2021 Mar; 18(4):. PubMed ID: 33691299
    [No Abstract]   [Full Text] [Related]  

  • 20. Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification.
    Liu X; Lv L; Shen Y; Xiong P; Yang J; Liu J
    J Neural Eng; 2021 Feb; 18(2):. PubMed ID: 33395676
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 11.