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 *

395 related articles for article (PubMed ID: 32581758)

  • 21. An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation.
    Chowdhury A; Raza H; Meena YK; Dutta A; Prasad G
    J Neurosci Methods; 2019 Jan; 312():1-11. PubMed ID: 30452976
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Application of BCI systems in neurorehabilitation: a scoping review.
    Bamdad M; Zarshenas H; Auais MA
    Disabil Rehabil Assist Technol; 2015; 10(5):355-64. PubMed ID: 25560222
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Functional source separation and hand cortical representation for a brain-computer interface feature extraction.
    Tecchio F; Porcaro C; Barbati G; Zappasodi F
    J Physiol; 2007 May; 580(Pt.3):703-21. PubMed ID: 17331989
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN.
    Bascil MS; Tesneli AY; Temurtas F
    Australas Phys Eng Sci Med; 2016 Sep; 39(3):665-76. PubMed ID: 27376723
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface.
    Raza H; Rathee D; Zhou SM; Cecotti H; Prasad G
    Neurocomputing (Amst); 2019 May; 343():154-166. PubMed ID: 32226230
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Brain-computer interfaces for communication and control.
    Wolpaw JR; Birbaumer N; McFarland DJ; Pfurtscheller G; Vaughan TM
    Clin Neurophysiol; 2002 Jun; 113(6):767-91. PubMed ID: 12048038
    [TBL] [Abstract][Full Text] [Related]  

  • 27. [Development of practicality of EEG-based brain-computer interface].
    Lin H; He Q; Yan Q; Feng Z; Wu B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Jun; 27(3):702-6. PubMed ID: 20649048
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline.
    Statthaler K; Schwarz A; Steyrl D; Kobler R; Höller MK; Brandstetter J; Hehenberger L; Bigga M; Müller-Putz G
    J Neuroeng Rehabil; 2017 Dec; 14(1):129. PubMed ID: 29282131
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Using brain connectivity metrics from synchrostates to perform motor imagery classification in EEG-based BCI systems.
    Santamaria L; James C
    Healthc Technol Lett; 2018 Jun; 5(3):88-93. PubMed ID: 29922477
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Decoding Covert Speech From EEG-A Comprehensive Review.
    Panachakel JT; Ramakrishnan AG
    Front Neurosci; 2021; 15():642251. PubMed ID: 33994922
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Brain-computer interface technology: a review of the first international meeting.
    Wolpaw JR; Birbaumer N; Heetderks WJ; McFarland DJ; Peckham PH; Schalk G; Donchin E; Quatrano LA; Robinson CJ; Vaughan TM
    IEEE Trans Rehabil Eng; 2000 Jun; 8(2):164-73. PubMed ID: 10896178
    [TBL] [Abstract][Full Text] [Related]  

  • 33. [Research progress about brain-computer interface technology based on cognitive brain areas and its applications in rehabilitation].
    Zhou H; Xu J; Shi C; Zuo G
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2018 Oct; 35(5):799-804. PubMed ID: 30370722
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 2020 International brain-computer interface competition: A review.
    Jeong JH; Cho JH; Lee YE; Lee SH; Shin GH; Kweon YS; Millán JDR; Müller KR; Lee SW
    Front Hum Neurosci; 2022; 16():898300. PubMed ID: 35937679
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces.
    Hong KS; Khan MJ; Hong MJ
    Front Hum Neurosci; 2018; 12():246. PubMed ID: 30002623
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Bispectrum-based feature extraction technique for devising a practical brain-computer interface.
    Shahid S; Prasad G
    J Neural Eng; 2011 Apr; 8(2):025014. PubMed ID: 21436530
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review.
    Papanastasiou G; Drigas A; Skianis C; Lytras M
    Heliyon; 2020 Sep; 6(9):e04250. PubMed ID: 32954024
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Review of brain encoding and decoding mechanisms for EEG-based brain-computer interface.
    Xu L; Xu M; Jung TP; Ming D
    Cogn Neurodyn; 2021 Aug; 15(4):569-584. PubMed ID: 34367361
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Recent Advances in Hybrid Brain-Computer Interface Systems: A Technological and Quantitative Review.
    Sadeghi S; Maleki A
    Basic Clin Neurosci; 2018; 9(5):373-388. PubMed ID: 30719252
    [TBL] [Abstract][Full Text] [Related]  

  • 40. EEG-Based Brain-Computer Interfaces.
    Wang Y; Nakanishi M; Zhang D
    Adv Exp Med Biol; 2019; 1101():41-65. PubMed ID: 31729671
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 20.