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 *

140 related articles for article (PubMed ID: 32679573)

  • 21. Decoding Imagined 3D Hand Movement Trajectories From EEG: Evidence to Support the Use of Mu, Beta, and Low Gamma Oscillations.
    Korik A; Sosnik R; Siddique N; Coyle D
    Front Neurosci; 2018; 12():130. PubMed ID: 29615848
    [No Abstract]   [Full Text] [Related]  

  • 22. Reconstructing hand kinematics during reach to grasp movements from electroencephalographic signals.
    Agashe HA; Contreras-Vidal JL
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5444-7. PubMed ID: 22255569
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Non-invasive decoding of hand movements from electroencephalography based on a hierarchical linear regression model.
    Zhang J; Wang B; Li T; Hong J
    Rev Sci Instrum; 2018 Aug; 89(8):084303. PubMed ID: 30184652
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System.
    Jeong JH; Shim KH; Kim DJ; Lee SW
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5544-5547. PubMed ID: 31947110
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 3D hand motion trajectory prediction from EEG mu and beta bandpower.
    Korik A; Sosnik R; Siddique N; Coyle D
    Prog Brain Res; 2016; 228():71-105. PubMed ID: 27590966
    [TBL] [Abstract][Full Text] [Related]  

  • 26. EEG-Based Continuous Hand Movement Decoding Using Improved Center-Out Paradigm.
    Wang J; Bi L; Fei W; Tian K
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():2845-2855. PubMed ID: 36191111
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control.
    Yun YD; Jeong JH; Cho JH; Kim DJ; Lee SW
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3014-3017. PubMed ID: 31946523
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A state-based probabilistic method for decoding hand position during movement from ECoG signals in non-human primate.
    Farrokhi B; Erfanian A
    J Neural Eng; 2020 May; 17(2):026042. PubMed ID: 32224511
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A brain-actuated robotic arm system using non-invasive hybrid brain-computer interface and shared control strategy.
    Cao L; Li G; Xu Y; Zhang H; Shu X; Zhang D
    J Neural Eng; 2021 May; 18(4):. PubMed ID: 33862607
    [No Abstract]   [Full Text] [Related]  

  • 30. Towards decoding of functional movements from the same limb using EEG.
    Shiman F; Irastorza-Landa N; Sarasola-Sanz A; Spuler M; Birbaumer N; Ramos-Murguialday A
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():1922-5. PubMed ID: 26736659
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Rewards-driven control of robot arm by decoding EEG signals.
    Tanwani AK; del R Millan J; Billard A
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1658-61. PubMed ID: 25570292
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Asynchronous decoding of finger position and of EMG during precision grip using CM cell activity: application to robot control.
    Ouanezar S; Eskiizmirliler S; Maier MA
    J Integr Neurosci; 2011 Dec; 10(4):489-511. PubMed ID: 22262537
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A multi-Kalman filter-based approach for decoding arm kinematics from EMG recordings.
    ElMohandes H; Eldawlatly S; Audí JMC; Ruff R; Hoffmann KP
    Biomed Eng Online; 2022 Sep; 21(1):60. PubMed ID: 36057581
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Decoding three-dimensional reaching movements using electrocorticographic signals in humans.
    Bundy DT; Pahwa M; Szrama N; Leuthardt EC
    J Neural Eng; 2016 Apr; 13(2):026021. PubMed ID: 26902372
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Biological Plausibility of Arm Postures Influences the Controllability of Robotic Arm Teleoperation.
    Mick S; Badets A; Oudeyer PY; Cattaert D; De Rugy A
    Hum Factors; 2022 Mar; 64(2):372-384. PubMed ID: 32809867
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Attempted Arm and Hand Movements can be Decoded from Low-Frequency EEG from Persons with Spinal Cord Injury.
    Ofner P; Schwarz A; Pereira J; Wyss D; Wildburger R; Müller-Putz GR
    Sci Rep; 2019 May; 9(1):7134. PubMed ID: 31073142
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Reconstructing three-dimensional hand movements from noninvasive electroencephalographic signals.
    Bradberry TJ; Gentili RJ; Contreras-Vidal JL
    J Neurosci; 2010 Mar; 30(9):3432-7. PubMed ID: 20203202
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Using machine learning to reveal the population vector from EEG signals.
    Kobler RJ; Almeida I; Sburlea AI; Müller-Putz GR
    J Neural Eng; 2020 Mar; 17(2):026002. PubMed ID: 32048612
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.
    Tayeb Z; Fedjaev J; Ghaboosi N; Richter C; Everding L; Qu X; Wu Y; Cheng G; Conradt J
    Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626132
    [TBL] [Abstract][Full Text] [Related]  

  • 40. The Advantage of Low-Delta Electroencephalogram Phase Feature for Reconstructing the Center-Out Reaching Hand Movements.
    Zeng H; Sun Y; Xu G; Wu C; Song A; Xu B; Li H; Hu C
    Front Neurosci; 2019; 13():480. PubMed ID: 31156367
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.