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 *

126 related articles for article (PubMed ID: 36405787)

  • 1. A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface.
    Jaipriya D; Sriharipriya KC
    Front Comput Neurosci; 2022; 16():1010770. PubMed ID: 36405787
    [TBL] [Abstract][Full Text] [Related]  

  • 2. EEG rhythm separation and time-frequency analysis of fast multivariate empirical mode decomposition for motor imagery BCI.
    Jiao Y; Zheng Q; Qiao D; Lang X; Xie L; Pan Y
    Biol Cybern; 2024 Apr; 118(1-2):21-37. PubMed ID: 38472417
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantifying mode mixing and leakage in multivariate empirical mode decomposition and application in motor imagery-based brain-computer interface system.
    Zheng Y; Xu G
    Med Biol Eng Comput; 2019 Jun; 57(6):1297-1311. PubMed ID: 30737625
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Discrimination of motor imagery tasks via information flow pattern of brain connectivity.
    Liang S; Choi KS; Qin J; Wang Q; Pang WM; Heng PA
    Technol Health Care; 2016 Apr; 24 Suppl 2():S795-801. PubMed ID: 27259085
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Neural Network-based Empirical Mode Decomposition for Motor Imagery EEG Classification.
    Yu H; Baek S; Lee J; Sohn I; Hwang B; Park C
    IEEE Trans Neural Syst Rehabil Eng; 2024 Jul; PP():. PubMed ID: 39037874
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces.
    Ge S; Shi YH; Wang RM; Lin P; Gao JF; Sun GP; Iramina K; Yang YK; Leng Y; Wang HX; Zheng WM
    IEEE J Biomed Health Inform; 2018 Sep; 22(5):1373-1384. PubMed ID: 29990114
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of motor imagery BCI using multivariate empirical mode decomposition.
    Park C; Looney D; Naveed ur Rehman ; Ahrabian A; Mandic DP
    IEEE Trans Neural Syst Rehabil Eng; 2013 Jan; 21(1):10-22. PubMed ID: 23204288
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification.
    Li L; Sun N
    Comput Intell Neurosci; 2022; 2022():8187009. PubMed ID: 35571721
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method.
    Taran S; Bajaj V
    Comput Methods Programs Biomed; 2019 May; 173():157-165. PubMed ID: 31046991
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A facile and flexible motor imagery classification using electroencephalogram signals.
    Khare SK; Bajaj V
    Comput Methods Programs Biomed; 2020 Dec; 197():105722. PubMed ID: 32862028
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Decoding Multi-Class EEG Signals of Hand Movement Using Multivariate Empirical Mode Decomposition and Convolutional Neural Network.
    Tao Y; Xu W; Wang G; Yuan Z; Wang M; Houston M; Zhang Y; Chen B; Yan X; Wang G
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2754-2763. PubMed ID: 36136926
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information.
    Mahmoudi M; Shamsi M
    Australas Phys Eng Sci Med; 2018 Dec; 41(4):957-972. PubMed ID: 30338495
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Imagined character recognition through EEG signals using deep convolutional neural network.
    Ullah S; Halim Z
    Med Biol Eng Comput; 2021 May; 59(5):1167-1183. PubMed ID: 33945075
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface.
    Chen YF; Atal K; Xie SQ; Liu Q
    J Neural Eng; 2017 Aug; 14(4):046028. PubMed ID: 28357991
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Flexible coding scheme for robotic arm control driven by motor imagery decoding.
    Ai Q; Zhao M; Chen K; Zhao X; Ma L; Liu Q
    J Neural Eng; 2022 Sep; 19(5):. PubMed ID: 35896097
    [No Abstract]   [Full Text] [Related]  

  • 17. 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]  

  • 18. Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition.
    Zahra A; Kanwal N; Ur Rehman N; Ehsan S; McDonald-Maier KD
    Comput Biol Med; 2017 Sep; 88():132-141. PubMed ID: 28719805
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Localization of Active Brain Sources From EEG Signals Using Empirical Mode Decomposition: A Comparative Study.
    Muñoz-Gutiérrez PA; Giraldo E; Bueno-López M; Molinas M
    Front Integr Neurosci; 2018; 12():55. PubMed ID: 30450041
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [A Feature Extraction Method for Brain Computer Interface Based on Multivariate Empirical Mode Decomposition].
    Wang J; Liu Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Apr; 32(2):451-4, 464. PubMed ID: 26211270
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.