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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

310 related items for PubMed ID: 25547267

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  • 3. EEG-based BCI system for decoding finger movements within the same hand.
    Alazrai R, Alwanni H, Daoud MI.
    Neurosci Lett; 2019 Apr 17; 698():113-120. PubMed ID: 30630057
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  • 4. A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching.
    Yin X, Xu B, Jiang C, Fu Y, Wang Z, Li H, Shi G.
    J Neural Eng; 2015 Jun 17; 12(3):036004. PubMed ID: 25834118
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  • 5. Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN.
    Bascil MS, Tesneli AY, Temurtas F.
    Australas Phys Eng Sci Med; 2016 Sep 17; 39(3):665-76. PubMed ID: 27376723
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  • 6. A fresh look at functional link neural network for motor imagery-based brain-computer interface.
    Hettiarachchi IT, Babaei T, Nguyen T, Lim CP, Nahavandi S.
    J Neurosci Methods; 2018 Jul 15; 305():28-35. PubMed ID: 29733940
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  • 7. Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements From Electroencephalogram Signals.
    Kim JH, Bießmann F, Lee SW.
    IEEE Trans Neural Syst Rehabil Eng; 2015 Sep 15; 23(5):867-76. PubMed ID: 25474811
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  • 11. Decoding individual finger movements from one hand using human EEG signals.
    Liao K, Xiao R, Gonzalez J, Ding L.
    PLoS One; 2014 Sep 15; 9(1):e85192. PubMed ID: 24416360
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  • 12. A two-stage four-class BCI based on imaginary movements of the left and the right wrist.
    Vučković A, Sepulveda F.
    Med Eng Phys; 2012 Sep 15; 34(7):964-71. PubMed ID: 22119365
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  • 13. 3D hand motion trajectory prediction from EEG mu and beta bandpower.
    Korik A, Sosnik R, Siddique N, Coyle D.
    Prog Brain Res; 2016 Sep 15; 228():71-105. PubMed ID: 27590966
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  • 15. Direction decoding of imagined hand movements using subject-specific features from parietal EEG.
    Sagila GK, Vinod AP.
    J Neural Eng; 2022 Sep 06; 19(5):. PubMed ID: 35901779
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  • 16. Neuromagnetic Decoding of Simultaneous Bilateral Hand Movements for Multidimensional Brain-Machine Interfaces.
    Belkacem AN, Nishio S, Suzuki T, Ishiguro H, Hirata M.
    IEEE Trans Neural Syst Rehabil Eng; 2018 Jun 06; 26(6):1301-1310. PubMed ID: 29877855
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  • 17. Asynchronous BCI based on motor imagery with automated calibration and neurofeedback training.
    Kus R, Valbuena D, Zygierewicz J, Malechka T, Graeser A, Durka P.
    IEEE Trans Neural Syst Rehabil Eng; 2012 Nov 06; 20(6):823-35. PubMed ID: 23033330
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  • 18. Using a noninvasive decoding method to classify rhythmic movement imaginations of the arm in two planes.
    Ofner P, Müller-Putz GR.
    IEEE Trans Biomed Eng; 2015 Mar 06; 62(3):972-81. PubMed ID: 25494495
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  • 19. Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG.
    Jochumsen M, Niazi IK, Taylor D, Farina D, Dremstrup K.
    J Neural Eng; 2015 Oct 06; 12(5):056013. PubMed ID: 26305233
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  • 20. Gumpy: a Python toolbox suitable for hybrid brain-computer interfaces.
    Tayeb Z, Waniek N, Fedjaev J, Ghaboosi N, Rychly L, Widderich C, Richter C, Braun J, Saveriano M, Cheng G, Conradt J.
    J Neural Eng; 2018 Dec 06; 15(6):065003. PubMed ID: 30215610
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