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 *

170 related articles for article (PubMed ID: 34891438)

  • 1. Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery?
    Kainolda Y; Abibullaev B; Sameni R; Zollanvari A
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():910-914. PubMed ID: 34891438
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression.
    Chu Y; Zhao X; Zou Y; Xu W; Song G; Han J; Zhao Y
    J Neural Eng; 2020 Aug; 17(4):046029. PubMed ID: 32780720
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets.
    Shuqfa Z; Belkacem AN; Lakas A
    Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299779
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods.
    Majidov I; Whangbo T
    Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30978978
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.
    Kumar S; Mamun K; Sharma A
    Comput Biol Med; 2017 Dec; 91():231-242. PubMed ID: 29100117
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EEG changes during passive movements improve the motor imagery feature extraction in BCIs-based sensory feedback calibration.
    Delisle-Rodriguez D; Silva L; Bastos-Filho T
    J Neural Eng; 2023 Feb; 20(1):. PubMed ID: 36716494
    [No Abstract]   [Full Text] [Related]  

  • 7. Multiclass brain-computer interface classification by Riemannian geometry.
    Barachant A; Bonnet S; Congedo M; Jutten C
    IEEE Trans Biomed Eng; 2012 Apr; 59(4):920-8. PubMed ID: 22010143
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Motor Imagery EEG Classification Based on Decision Tree Framework and Riemannian Geometry.
    Guan S; Zhao K; Yang S
    Comput Intell Neurosci; 2019; 2019():5627156. PubMed ID: 30804988
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel ANN adaptive Riemannian-based kernel classification for motor imagery.
    Yacine F; Salah H; Amar K; Ahmad K
    Biomed Phys Eng Express; 2022 Dec; 9(1):. PubMed ID: 36535004
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI.
    Chevallier S; Kalunga EK; Barthélemy Q; Monacelli E
    Neuroinformatics; 2021 Jan; 19(1):93-106. PubMed ID: 32562187
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Weighted spatial based geometric scheme as an efficient algorithm for analyzing single-trial EEGS to improve cue-based BCI classification.
    Alimardani F; Boostani R; Blankertz B
    Neural Netw; 2017 Aug; 92():69-76. PubMed ID: 28385624
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Motor imagery classification using geodesic filtering common spatial pattern and filter-bank feature weighted support vector machine.
    Wang F; Xu Z; Zhang W; Wu S; Zhang Y; Ping J; Wu C
    Rev Sci Instrum; 2020 Mar; 91(3):034106. PubMed ID: 32259927
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Local temporal correlation common spatial patterns for single trial EEG classification during motor imagery.
    Zhang R; Xu P; Liu T; Zhang Y; Guo L; Li P; Yao D
    Comput Math Methods Med; 2013; 2013():591216. PubMed ID: 24348740
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Maximum entropy based common spatial patterns for motor imagery classification.
    Ali SS; Lei Zhang
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():5865-5868. PubMed ID: 28269588
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Probabilistic learning vector quantization on manifold of symmetric positive definite matrices.
    Tang F; Feng H; Tino P; Si B; Ji D
    Neural Netw; 2021 Oct; 142():105-118. PubMed ID: 33984734
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices.
    Xie X; Yu ZL; Lu H; Gu Z; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2017 Jun; 25(6):504-516. PubMed ID: 27392361
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Selective Cross-Subject Transfer Learning Based on Riemannian Tangent Space for Motor Imagery Brain-Computer Interface.
    Xu Y; Huang X; Lan Q
    Front Neurosci; 2021; 15():779231. PubMed ID: 34803600
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.