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Journal Abstract Search

445 related items for PubMed ID: 15876619

  • 1. Single-trial lambda wave identification using a fuzzy inference system and predictive statistical diagnosis.
    Saatchi R.
    J Neural Eng; 2004 Mar; 1(1):21-31. PubMed ID: 15876619
    [Abstract] [Full Text] [Related]

  • 2. Evolutionary optimization of classifiers and features for single-trial EEG discrimination.
    Aberg MC, Wessberg J.
    Biomed Eng Online; 2007 Aug 23; 6():32. PubMed ID: 17716370
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  • 4. Single-trial classification of MEG recordings.
    Guimaraes MP, Wong DK, Uy ET, Grosenick L, Suppes P.
    IEEE Trans Biomed Eng; 2007 Mar 23; 54(3):436-43. PubMed ID: 17355055
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  • 5. Entropies for detection of epilepsy in EEG.
    Kannathal N, Choo ML, Acharya UR, Sadasivan PK.
    Comput Methods Programs Biomed; 2005 Dec 23; 80(3):187-94. PubMed ID: 16219385
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  • 6. Automatic correction of artifact from single-trial event-related potentials by blind source separation using second order statistics only.
    Ting KH, Fung PC, Chang CQ, Chan FH.
    Med Eng Phys; 2006 Oct 23; 28(8):780-94. PubMed ID: 16406675
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  • 7. Enhancing the signal-to-noise ratio of ICA-based extracted ERPs.
    Lemm S, Curio G, Hlushchuk Y, Müller KR.
    IEEE Trans Biomed Eng; 2006 Apr 23; 53(4):601-7. PubMed ID: 16602566
    [Abstract] [Full Text] [Related]

  • 8. Automatic classification of athletes with residual functional deficits following concussion by means of EEG signal using support vector machine.
    Cao C, Tutwiler RL, Slobounov S.
    IEEE Trans Neural Syst Rehabil Eng; 2008 Aug 23; 16(4):327-35. PubMed ID: 18701381
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  • 9. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients.
    Güler I, Ubeyli ED.
    J Neurosci Methods; 2005 Oct 30; 148(2):113-21. PubMed ID: 16054702
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  • 10. Bayesian M/EEG source reconstruction with spatio-temporal priors.
    Trujillo-Barreto NJ, Aubert-Vázquez E, Penny WD.
    Neuroimage; 2008 Jan 01; 39(1):318-35. PubMed ID: 17904869
    [Abstract] [Full Text] [Related]

  • 11. Seperability of four-class motor imagery data using independent components analysis.
    Naeem M, Brunner C, Leeb R, Graimann B, Pfurtscheller G.
    J Neural Eng; 2006 Sep 01; 3(3):208-16. PubMed ID: 16921204
    [Abstract] [Full Text] [Related]

  • 12. A feature selection method for multilevel mental fatigue EEG classification.
    Shen KQ, Ong CJ, Li XP, Hui Z, Wilder-Smith EP.
    IEEE Trans Biomed Eng; 2007 Jul 01; 54(7):1231-7. PubMed ID: 17605354
    [Abstract] [Full Text] [Related]

  • 13. Studying the use of fuzzy inference systems for motor imagery classification.
    Fabien L, Anatole L, Fabrice L, Bruno A.
    IEEE Trans Neural Syst Rehabil Eng; 2007 Jun 01; 15(2):322-4. PubMed ID: 17601202
    [Abstract] [Full Text] [Related]

  • 14. Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.
    Akdemir B, Kara S, Polat K, Güven A, Güneş S.
    Artif Intell Med; 2008 Jun 01; 43(2):141-9. PubMed ID: 18468871
    [Abstract] [Full Text] [Related]

  • 15. A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification.
    LeVan P, Urrestarazu E, Gotman J.
    Clin Neurophysiol; 2006 Apr 01; 117(4):912-27. PubMed ID: 16458594
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  • 17. Spatial filters and automated spike detection based on brain topographies improve sensitivity of EEG-fMRI studies in focal epilepsy.
    Siniatchkin M, Moeller F, Jacobs J, Stephani U, Boor R, Wolff S, Jansen O, Siebner H, Scherg M.
    Neuroimage; 2007 Sep 01; 37(3):834-43. PubMed ID: 17627849
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  • 20. Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG).
    Lehmann C, Koenig T, Jelic V, Prichep L, John RE, Wahlund LO, Dodge Y, Dierks T.
    J Neurosci Methods; 2007 Apr 15; 161(2):342-50. PubMed ID: 17156848
    [Abstract] [Full Text] [Related]

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