BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

348 related articles for article (PubMed ID: 17409486)

  • 21. Multi-channel linear descriptors for event-related EEG collected in brain computer interface.
    Pei XM; Zheng CX; Xu J; Bin GY; Wang HW
    J Neural Eng; 2006 Mar; 3(1):52-8. PubMed ID: 16510942
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A comparison of common spatial patterns with complex band power features in a four-class BCI experiment.
    Townsend G; Graimann B; Pfurtscheller G
    IEEE Trans Biomed Eng; 2006 Apr; 53(4):642-51. PubMed ID: 16602570
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier.
    Boostani R; Moradi MH
    J Neural Eng; 2004 Dec; 1(4):212-7. PubMed ID: 15876641
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Application of tripolar concentric electrodes and prefeature selection algorithm for brain-computer interface.
    Besio WG; Cao H; Zhou P
    IEEE Trans Neural Syst Rehabil Eng; 2008 Apr; 16(2):191-4. PubMed ID: 18403288
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Support vector channel selection in BCI.
    Lal TN; Schröder M; Hinterberger T; Weston J; Bogdan M; Birbaumer N; Schölkopf B
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1003-10. PubMed ID: 15188871
    [TBL] [Abstract][Full Text] [Related]  

  • 26. BCI Competition 2003--Data set III: probabilistic modeling of sensorimotor mu rhythms for classification of imaginary hand movements.
    Lemm S; Schäfer C; Curio G
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1077-80. PubMed ID: 15188882
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Continuous EEG classification during motor imagery--simulation of an asynchronous BCI.
    Townsend G; Graimann B; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2004 Jun; 12(2):258-65. PubMed ID: 15218939
    [TBL] [Abstract][Full Text] [Related]  

  • 28. BCI Competition 2003--Data set IV: an algorithm based on CSSD and FDA for classifying single-trial EEG.
    Wang Y; Zhang Z; Li Y; Gao X; Gao S; Yang F
    IEEE Trans Biomed Eng; 2004 Jun; 51(6):1081-6. PubMed ID: 15188883
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Characterization of four-class motor imagery EEG data for the BCI-competition 2005.
    Schlögl A; Lee F; Bischof H; Pfurtscheller G
    J Neural Eng; 2005 Dec; 2(4):L14-22. PubMed ID: 16317224
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Conversion of EEG activity into cursor movement by a brain-computer interface (BCI).
    Fabiani GE; McFarland DJ; Wolpaw JR; Pfurtscheller G
    IEEE Trans Neural Syst Rehabil Eng; 2004 Sep; 12(3):331-8. PubMed ID: 15473195
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Sensorimotor rhythm-based brain-computer interface (BCI): feature selection by regression improves performance.
    McFarland DJ; Wolpaw JR
    IEEE Trans Neural Syst Rehabil Eng; 2005 Sep; 13(3):372-9. PubMed ID: 16200760
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Online classification of single EEG trials during finger movements.
    Lehtonen J; Jylänki P; Kauhanen L; Sams M
    IEEE Trans Biomed Eng; 2008 Feb; 55(2 Pt 1):713-20. PubMed ID: 18270008
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimates.
    Vidaurre C; Schlögl A; Cabeza R; Scherer R; Pfurtscheller G
    Biomed Tech (Berl); 2005 Nov; 50(11):350-4. PubMed ID: 16370147
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Decoding human motor activity from EEG single trials for a discrete two-dimensional cursor control.
    Huang D; Lin P; Fei DY; Chen X; Bai O
    J Neural Eng; 2009 Aug; 6(4):046005. PubMed ID: 19556679
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Classification of motor imagery tasks for brain-computer interface applications by means of two equivalent dipoles analysis.
    Kamousi B; Liu Z; He B
    IEEE Trans Neural Syst Rehabil Eng; 2005 Jun; 13(2):166-71. PubMed ID: 16003895
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A public data hub for benchmarking common brain-computer interface algorithms.
    Zander TO; Ihme K; Gärtner M; Rötting M
    J Neural Eng; 2011 Apr; 8(2):025021. PubMed ID: 21436533
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Embedded grey relation theory in Hopfield neural network: application to motor imagery EEG recognition.
    Hsu WY
    Clin EEG Neurosci; 2013 Oct; 44(4):257-64. PubMed ID: 23536381
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain-computer interface.
    Siuly S; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2012 Jul; 20(4):526-38. PubMed ID: 22287252
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Control of an electrical prosthesis with an SSVEP-based BCI.
    Müller-Putz GR; Pfurtscheller G
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):361-4. PubMed ID: 18232384
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Classification of EEG with structural feature dictionaries in a brain computer interface.
    Göksu F; Ince NF; Tadipatri VA; Tewfik AH
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1001-4. PubMed ID: 19162827
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 18.