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 *

221 related articles for article (PubMed ID: 28410052)

  • 21. A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.
    Lu N; Li T; Ren X; Miao H
    IEEE Trans Neural Syst Rehabil Eng; 2017 Jun; 25(6):566-576. PubMed ID: 27542114
    [TBL] [Abstract][Full Text] [Related]  

  • 22. EEG-based classification of imaginary left and right foot movements using beta rebound.
    Hashimoto Y; Ushiba J
    Clin Neurophysiol; 2013 Nov; 124(11):2153-60. PubMed ID: 23757379
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Three-stage transfer learning for motor imagery EEG recognition.
    Li J; She Q; Meng M; Du S; Zhang Y
    Med Biol Eng Comput; 2024 Jun; 62(6):1689-1701. PubMed ID: 38342784
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. A dynamic and self-adaptive classification algorithm for motor imagery EEG signals.
    Belwafi K; Gannouni S; Aboalsamh H; Mathkour H; Belghith A
    J Neurosci Methods; 2019 Nov; 327():108346. PubMed ID: 31421162
    [TBL] [Abstract][Full Text] [Related]  

  • 26. EEG classification for motor imagery and resting state in BCI applications using multi-class Adaboost extreme learning machine.
    Gao L; Cheng W; Zhang J; Wang J
    Rev Sci Instrum; 2016 Aug; 87(8):085110. PubMed ID: 27587163
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Motor Imagery Classification with Covariance Matrices and Non-Negative Matrix Factorization.
    Gurve D; Delisle-Rodriguez D; Bastos T; Krishnan S
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3083-3086. PubMed ID: 31946539
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Riemannian distance based channel selection and feature extraction combining discriminative time-frequency bands and Riemannian tangent space for MI-BCIs.
    Qu T; Jin J; Xu R; Wang X; Cichocki A
    J Neural Eng; 2022 Sep; 19(5):. PubMed ID: 36126643
    [No Abstract]   [Full Text] [Related]  

  • 29. The predictive role of pre-cue EEG rhythms on MI-based BCI classification performance.
    Bamdadian A; Guan C; Ang KK; Xu J
    J Neurosci Methods; 2014 Sep; 235():138-44. PubMed ID: 24979726
    [TBL] [Abstract][Full Text] [Related]  

  • 30. [Motor Imagery Electroencephalogram Feature Selection Algorithm Based on Mutual Information and Principal Component Analysis].
    Xu J; Zuo G
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Apr; 33(2):201-7. PubMed ID: 29708316
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Decision tree structure based classification of EEG signals recorded during two dimensional cursor movement imagery.
    Aydemir O; Kayikcioglu T
    J Neurosci Methods; 2014 May; 229():68-75. PubMed ID: 24751647
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Bilinear Regularized Locality Preserving Learning on Riemannian Graph for Motor Imagery BCI.
    Xie X; Yu ZL; Gu Z; Zhang J; Cen L; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2018 Mar; 26(3):698-708. PubMed ID: 29522413
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A New
    Wu F; Gong A; Li H; Zhao L; Zhang W; Fu Y
    Front Hum Neurosci; 2021; 15():595723. PubMed ID: 33762911
    [No Abstract]   [Full Text] [Related]  

  • 35. Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network.
    Zhang T; Liu T; Li F; Li M; Liu D; Zhang R; He H; Li P; Gong J; Luo C; Yao D; Xu P
    Neuroimage; 2016 Jul; 134():475-485. PubMed ID: 27103137
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Binary particle swarm optimization for frequency band selection in motor imagery based brain-computer interfaces.
    Wei Q; Wei Z
    Biomed Mater Eng; 2015; 26 Suppl 1():S1523-32. PubMed ID: 26405916
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.
    Hsu WY
    Int J Neural Syst; 2015 Dec; 25(8):1550037. PubMed ID: 26584583
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Novel Feature Extraction Framework for Four Class Motor Imagery Classification using Log Determinant Regularized Riemannian Manifold.
    Jagadish B; Rajalakshmi P
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6754-6757. PubMed ID: 31947391
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.
    Miao M; Wang A; Liu F
    Med Biol Eng Comput; 2017 Sep; 55(9):1589-1603. PubMed ID: 28161876
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Adaptive power projection method for accumulative EEG classification.
    Li CY; Liu R; Wang YY; Wang YX; Li X
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():7052-5. PubMed ID: 24111369
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.