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 *

103 related articles for article (PubMed ID: 21257387)

  • 21. On the role of cost-sensitive learning in multi-class brain-computer interfaces.
    Devlaminck D; Waegeman W; Wyns B; Otte G; Santens P
    Biomed Tech (Berl); 2010 Jun; 55(3):163-72. PubMed ID: 20470224
    [TBL] [Abstract][Full Text] [Related]  

  • 22. xDAWN algorithm to enhance evoked potentials: application to brain-computer interface.
    Rivet B; Souloumiac A; Attina V; Gibert G
    IEEE Trans Biomed Eng; 2009 Aug; 56(8):2035-43. PubMed ID: 19174332
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes.
    Stavisky SD; Kao JC; Nuyujukian P; Ryu SI; Shenoy KV
    J Neural Eng; 2015 Jun; 12(3):036009. PubMed ID: 25946198
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Classification of the intention to generate a shoulder versus elbow torque by means of a time-frequency synthesized spatial patterns BCI algorithm.
    Deng J; Yao J; Dewald JP
    J Neural Eng; 2005 Dec; 2(4):131-8. PubMed ID: 16317237
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Overcoming measurement time variability in brain machine interface.
    Gowreesunker BV; Tewfik AH; Tadipatri VA; Ince NF; Ashe J; Pellizzer G
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3134-7. PubMed ID: 19963572
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Exploring virtual environments with an EEG-based BCI through motor imagery.
    Leeb R; Scherer R; Keinrath C; Guger C; Pfurtscheller G
    Biomed Tech (Berl); 2005 Apr; 50(4):86-91. PubMed ID: 15884704
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. 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]  

  • 30. Statistical encoding model for a primary motor cortical brain-machine interface.
    Shoham S; Paninski LM; Fellows MR; Hatsopoulos NG; Donoghue JP; Normann RA
    IEEE Trans Biomed Eng; 2005 Jul; 52(7):1312-22. PubMed ID: 16041995
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Decoding two-dimensional movement trajectories using electrocorticographic signals in humans.
    Schalk G; Kubánek J; Miller KJ; Anderson NR; Leuthardt EC; Ojemann JG; Limbrick D; Moran D; Gerhardt LA; Wolpaw JR
    J Neural Eng; 2007 Sep; 4(3):264-75. PubMed ID: 17873429
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Biometrics from brain electrical activity: a machine learning approach.
    Palaniappan R; Mandic DP
    IEEE Trans Pattern Anal Mach Intell; 2007 Apr; 29(4):738-42. PubMed ID: 17299228
    [TBL] [Abstract][Full Text] [Related]  

  • 33. [Analysis and research of brain-computer interface experiments for imaging left-right hands movement].
    Wu Y; He Q; Huang H; Zhang L; Zhuo Y; Xie Q; Wu B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Oct; 25(5):983-8. PubMed ID: 19024431
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics.
    Vialatte FB; Martin C; Dubois R; Haddad J; Quenet B; Gervais R; Dreyfus G
    Neural Netw; 2007 Mar; 20(2):194-209. PubMed ID: 17145165
    [TBL] [Abstract][Full Text] [Related]  

  • 35. The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.
    Blankertz B; Dornhege G; Krauledat M; Müller KR; Curio G
    Neuroimage; 2007 Aug; 37(2):539-50. PubMed ID: 17475513
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Classification of imaginary movements in ECoG with a hybrid approach based on multi-dimensional Hilbert-SVM solution.
    Demirer RM; Ozerdem MS; Bayrak C
    J Neurosci Methods; 2009 Mar; 178(1):214-8. PubMed ID: 19084556
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces.
    Vidaurre C; Schlögl A; Cabeza R; Scherer R; Pfurtscheller G
    IEEE Trans Biomed Eng; 2007 Mar; 54(3):550-6. PubMed ID: 17355071
    [TBL] [Abstract][Full Text] [Related]  

  • 38. An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in a brain-computer interface.
    Wang T; He B
    J Neural Eng; 2004 Mar; 1(1):1-7. PubMed ID: 15876616
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Kinetic trajectory decoding using motor cortical ensembles.
    Fagg AH; Ojakangas GW; Miller LE; Hatsopoulos NG
    IEEE Trans Neural Syst Rehabil Eng; 2009 Oct; 17(5):487-96. PubMed ID: 19666343
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.