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 *

454 related articles for article (PubMed ID: 34502629)

  • 1. BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification.
    Appriou A; Pillette L; Trocellier D; Dutartre D; Cichocki A; Lotte F
    Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502629
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Gumpy: a Python toolbox suitable for hybrid brain-computer interfaces.
    Tayeb Z; Waniek N; Fedjaev J; Ghaboosi N; Rychly L; Widderich C; Richter C; Braun J; Saveriano M; Cheng G; Conradt J
    J Neural Eng; 2018 Dec; 15(6):065003. PubMed ID: 30215610
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update.
    Lotte F; Bougrain L; Cichocki A; Clerc M; Congedo M; Rakotomamonjy A; Yger F
    J Neural Eng; 2018 Jun; 15(3):031005. PubMed ID: 29488902
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Wyrm: A Brain-Computer Interface Toolbox in Python.
    Venthur B; Dähne S; Höhne J; Heller H; Blankertz B
    Neuroinformatics; 2015 Oct; 13(4):471-86. PubMed ID: 26001643
    [TBL] [Abstract][Full Text] [Related]  

  • 5. EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications.
    Gu X; Cao Z; Jolfaei A; Xu P; Wu D; Jung TP; Lin CT
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):1645-1666. PubMed ID: 33465029
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses.
    Shin J; Kim DW; Müller KR; Hwang HJ
    Sensors (Basel); 2018 Jun; 18(6):. PubMed ID: 29874804
    [TBL] [Abstract][Full Text] [Related]  

  • 7. EEG-based brain-computer interfaces exploiting steady-state somatosensory-evoked potentials: a literature review.
    Petit J; Rouillard J; Cabestaing F
    J Neural Eng; 2021 Nov; 18(5):. PubMed ID: 34725311
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A real-time classification algorithm for EEG-based BCI driven by self-induced emotions.
    Iacoviello D; Petracca A; Spezialetti M; Placidi G
    Comput Methods Programs Biomed; 2015 Dec; 122(3):293-303. PubMed ID: 26358282
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An embedded implementation based on adaptive filter bank for brain-computer interface systems.
    Belwafi K; Romain O; Gannouni S; Ghaffari F; Djemal R; Ouni B
    J Neurosci Methods; 2018 Jul; 305():1-16. PubMed ID: 29738806
    [TBL] [Abstract][Full Text] [Related]  

  • 10. SimBSI: An open-source Simulink library for developing closed-loop brain signal interfaces in animals and humans.
    Ojeda A; Buscher N; Balasubramani P; Maric V; Ramanathan D; Mishra J
    Biomed Phys Eng Express; 2020 Apr; 6(3):035023. PubMed ID: 33438668
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A large EEG database with users' profile information for motor imagery brain-computer interface research.
    Dreyer P; Roc A; Pillette L; Rimbert S; Lotte F
    Sci Data; 2023 Sep; 10(1):580. PubMed ID: 37670009
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Riemannian Approaches in Brain-Computer Interfaces: A Review.
    Yger F; Berar M; Lotte F
    IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1753-1762. PubMed ID: 27845666
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Quasi-probabilistic distribution model for EEG Signal classification by using 2-D signal representation.
    Murat Yilmaz C; Kose C; Hatipoglu B
    Comput Methods Programs Biomed; 2018 Aug; 162():187-196. PubMed ID: 29903485
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An open-source human-in-the-loop BCI research framework: method and design.
    Gemborn Nilsson M; Tufvesson P; Heskebeck F; Johansson M
    Front Hum Neurosci; 2023; 17():1129362. PubMed ID: 37441434
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Electroencephalography-based endogenous brain-computer interface for online communication with a completely locked-in patient.
    Han CH; Kim YW; Kim DY; Kim SH; Nenadic Z; Im CH
    J Neuroeng Rehabil; 2019 Jan; 16(1):18. PubMed ID: 30700310
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Creamino: A Cost-Effective, Open-Source EEG-Based BCI System.
    Chiesi M; Guermandi M; Placati S; Scarselli EF; Guerrieri R
    IEEE Trans Biomed Eng; 2019 Apr; 66(4):900-909. PubMed ID: 30080140
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine-learning-based coadaptive calibration for brain-computer interfaces.
    Vidaurre C; Sannelli C; Müller KR; Blankertz B
    Neural Comput; 2011 Mar; 23(3):791-816. PubMed ID: 21162666
    [TBL] [Abstract][Full Text] [Related]  

  • 19. As above, so below? Towards understanding inverse models in BCI.
    Lindgren JT
    J Neural Eng; 2018 Feb; 15(1):012001. PubMed ID: 28816702
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
    Zhang Y; Nam CS; Zhou G; Jin J; Wang X; Cichocki A
    IEEE Trans Cybern; 2019 Sep; 49(9):3322-3332. PubMed ID: 29994667
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.