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 *

117 related articles for article (PubMed ID: 26971787)

  • 1. Faster P300 Classifier Training Using Spatiotemporal Beamforming.
    Wittevrongel B; Van Hulle MM
    Int J Neural Syst; 2016 May; 26(3):1650014. PubMed ID: 26971787
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Incorporation of Inter-Subject Information to Improve the Accuracy of Subject-Specific P300 Classifiers.
    Xu M; Liu J; Chen L; Qi H; He F; Zhou P; Wan B; Ming D
    Int J Neural Syst; 2016 May; 26(3):1650010. PubMed ID: 27005002
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Code-modulated visual evoked potentials using fast stimulus presentation and spatiotemporal beamformer decoding.
    Wittevrongel B; Van Wolputte E; Van Hulle MM
    Sci Rep; 2017 Nov; 7(1):15037. PubMed ID: 29118386
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer.
    van Vliet M; Chumerin N; De Deyne S; Wiersema JR; Fias W; Storms G; Van Hulle MM
    IEEE Trans Biomed Eng; 2016 Jan; 63(1):55-66. PubMed ID: 26285053
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Wireless Stimulus-on-Device Design for Novel P300 Hybrid Brain-Computer Interface Applications.
    Kuo CH; Chen HH; Chou HC; Chen PN; Kuo YC
    Comput Intell Neurosci; 2018; 2018():2301804. PubMed ID: 30111993
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A comparison of classification techniques for a gaze-independent P300-based brain-computer interface.
    Aloise F; Schettini F; Aricò P; Salinari S; Babiloni F; Cincotti F
    J Neural Eng; 2012 Aug; 9(4):045012. PubMed ID: 22832242
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces.
    Carabez E; Sugi M; Nambu I; Wada Y
    Comput Intell Neurosci; 2017; 2017():8163949. PubMed ID: 29250108
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Design and implementation of controlling smart car systems using P300 brain-computer interface].
    Wang J; Yang C; Hu B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Apr; 30(2):223-8. PubMed ID: 23858737
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An efficient EEG based deceit identification test using wavelet packet transform and linear discriminant analysis.
    Dodia S; Edla DR; Bablani A; Ramesh D; Kuppili V
    J Neurosci Methods; 2019 Feb; 314():31-40. PubMed ID: 30660481
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Use of the Stockwell Transform in the Detection of P300 Evoked Potentials with Low-Cost Brain Sensors.
    Pérez-Vidal AF; Garcia-Beltran CD; Martínez-Sibaja A; Posada-Gómez R
    Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29747374
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multi-resolution approach to localize neural sources of P300 event-related brain potential.
    Sabeti M; Katebi SD; Rastgar K; Azimifar Z
    Comput Methods Programs Biomed; 2016 Sep; 133():155-168. PubMed ID: 27393807
    [TBL] [Abstract][Full Text] [Related]  

  • 12. How many people are able to control a P300-based brain-computer interface (BCI)?
    Guger C; Daban S; Sellers E; Holzner C; Krausz G; Carabalona R; Gramatica F; Edlinger G
    Neurosci Lett; 2009 Oct; 462(1):94-8. PubMed ID: 19545601
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Hybrid Brain-Computer Interface Based on the Fusion of P300 and SSVEP Scores.
    Yin E; Zeyl T; Saab R; Chau T; Hu D; Zhou Z
    IEEE Trans Neural Syst Rehabil Eng; 2015 Jul; 23(4):693-701. PubMed ID: 25706721
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface.
    Cavrini F; Bianchi L; Quitadamo LR; Saggio G
    Comput Intell Neurosci; 2016; 2016():9845980. PubMed ID: 26819595
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Idle-State Detection Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Maximum Evoked Response Spatial Filter.
    Zhang D; Huang B; Wu W; Li S
    Int J Neural Syst; 2015 Nov; 25(7):1550030. PubMed ID: 26246229
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Model comparison for automatic characterization and classification of average ERPs using visual oddball paradigm.
    Merzagora AC; Butti M; Polikar R; Izzetoglu M; Bunce S; Cerutti S; Bianchi AM; Onaral B
    Clin Neurophysiol; 2009 Feb; 120(2):264-74. PubMed ID: 19062338
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comparison of recording modalities of P300 event-related potentials (ERP) for brain-computer interface (BCI) paradigm.
    Mayaud L; Congedo M; Van Laghenhove A; Orlikowski D; Figère M; Azabou E; Cheliout-Heraut F
    Neurophysiol Clin; 2013 Oct; 43(4):217-27. PubMed ID: 24094907
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Leveraging Deep Learning Techniques to Improve P300-Based Brain Computer Interfaces.
    Da I; Dui LG; Ferrante S; Pedrocchi A; Antonietti A
    IEEE J Biomed Health Inform; 2022 Oct; 26(10):4892-4902. PubMed ID: 35552154
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization.
    Nambu I; Ebisawa M; Kogure M; Yano S; Hokari H; Wada Y
    PLoS One; 2013; 8(2):e57174. PubMed ID: 23437338
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A new hybrid BCI paradigm based on P300 and SSVEP.
    Wang M; Daly I; Allison BZ; Jin J; Zhang Y; Chen L; Wang X
    J Neurosci Methods; 2015 Apr; 244():16-25. PubMed ID: 24997343
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.