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 *

109 related articles for article (PubMed ID: 19163918)

  • 1. Three cases of feature correlation in an electrocorticographic BCI.
    Miller KJ; Blakely T; Schalk G; den Nijs M; Rao RP; Ojemann JG
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5318-21. PubMed ID: 19163918
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Generalized features for electrocorticographic BCIs.
    Shenoy P; Miller KJ; Ojemann JG; Rao RP
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):273-80. PubMed ID: 18232371
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters.
    Blakely T; Miller KJ; Zanos SP; Rao RP; Ojemann JG
    Neurosurg Focus; 2009 Jul; 27(1):E13. PubMed ID: 19569888
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Steady-state movement related potentials for brain computer interfacing.
    Nazarpour K; Praamstra P; Miall R; Sanei S
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5310-3. PubMed ID: 19163916
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Task-irrelevant alpha component analysis in motor imagery based brain computer interface.
    Lou B; Hong B; Gao S
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():1021-4. PubMed ID: 19162832
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Creating a nonparametric brain-computer interface with neural time-series prediction preprocessing.
    Coyle D; McGinnity TM; Prasad G
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2183-6. PubMed ID: 17946502
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Motor prediction in Brain-Computer Interfaces for controlling mobile robots.
    Geng T; Gan JQ
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():634-7. PubMed ID: 19162735
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Amplitude and phase coupling measures for feature extraction in an EEG-based brain-computer interface.
    Wei Q; Wang Y; Gao X; Gao S
    J Neural Eng; 2007 Jun; 4(2):120-9. PubMed ID: 17409486
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Neural time-series prediction preprocessing meets common spatial patterns in a brain-computer interface.
    Coyle D; Satti A; Prasad G; McGinnity TM
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():2626-9. PubMed ID: 19163242
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Tongue-rudder: a glossokinetic-potential-based tongue-machine interface.
    Nam Y; Zhao Q; Cichocki A; Choi S
    IEEE Trans Biomed Eng; 2012 Jan; 59(1):290-9. PubMed ID: 22049361
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Channel selection by genetic algorithms for classifying single-trial ECoG during motor imagery.
    Wei Q; Tu W
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():624-7. PubMed ID: 19162733
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An empirical bayesian framework for brain-computer interfaces.
    Lei X; Yang P; Yao D
    IEEE Trans Neural Syst Rehabil Eng; 2009 Dec; 17(6):521-9. PubMed ID: 19622442
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A new discriminative common spatial pattern method for motor imagery brain-computer interfaces.
    Thomas KP; Guan C; Lau CT; Vinod AP; Ang KK
    IEEE Trans Biomed Eng; 2009 Nov; 56(11 Pt 2):2730-3. PubMed ID: 19605314
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Continuous detection of motor imagery in a four-class asynchronous BCI.
    Sadeghian EB; Moradi MH
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3241-4. PubMed ID: 18002686
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluating the performance of a self-paced BCI with a new movement and using a more engaging environment.
    Fatourechi M; Ward RK; Birch GE
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():650-3. PubMed ID: 19162739
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hybrid Brain-Computer Interface (BCI) based on the EEG and EOG signals.
    Jiang J; Zhou Z; Yin E; Yu Y; Hu D
    Biomed Mater Eng; 2014; 24(6):2919-25. PubMed ID: 25226998
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.