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 *

171 related articles for article (PubMed ID: 33146148)

  • 1. Distance- and speed-informed kinematics decoding improves M/EEG based upper-limb movement decoder accuracy.
    Kobler RJ; Sburlea AI; Mondini V; Hirata M; Müller-Putz GR
    J Neural Eng; 2020 Nov; 17(5):056027. PubMed ID: 33146148
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Lower-limb kinematic reconstruction during pedaling tasks from EEG signals using Unscented Kalman filter.
    Blanco-Díaz CF; Guerrero-Mendez CD; Delisle-Rodriguez D; de Souza AF; Badue C; Bastos-Filho TF
    Comput Methods Biomech Biomed Engin; 2024 May; 27(7):867-877. PubMed ID: 37129900
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unscented Kalman filter for neural decoding of human treadmill walking from non-invasive electroencephalography.
    Trieu Phat Luu ; Yongtian He ; Nakagame S; Gorges J; Nathan K; Contreras-Vidal JL
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1548-1551. PubMed ID: 28268622
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessing movement factors in upper limb kinematics decoding from EEG signals.
    Úbeda A; Hortal E; Iáñez E; Perez-Vidal C; Azorín JM
    PLoS One; 2015; 10(5):e0128456. PubMed ID: 26020525
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques.
    Úbeda A; Azorín JM; Chavarriaga R; R Millán JD
    J Neuroeng Rehabil; 2017 Feb; 14(1):9. PubMed ID: 28143603
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Decoding movement frequencies and limbs based on steady-state movement-related rhythms from noninvasive EEG.
    Wei Y; Wang X; Luo R; Mai X; Li S; Meng J
    J Neural Eng; 2023 Nov; 20(6):. PubMed ID: 37816342
    [No Abstract]   [Full Text] [Related]  

  • 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; 23(5):867-76. PubMed ID: 25474811
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Non-linear online low-frequency EEG decoding of arm movements during a pursuit tracking task.
    Martinez-Cagigal V; Kobler RJ; Mondini V; Hornero R; Muller-Putz GR
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():2981-2985. PubMed ID: 33018632
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Continuous low-frequency EEG decoding of arm movement for closed-loop, natural control of a robotic arm.
    Mondini V; Kobler RJ; Sburlea AI; Müller-Putz GR
    J Neural Eng; 2020 Aug; 17(4):046031. PubMed ID: 32679573
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Decoding movement kinematics from EEG using an interpretable convolutional neural network.
    Borra D; Mondini V; Magosso E; Müller-Putz GR
    Comput Biol Med; 2023 Oct; 165():107323. PubMed ID: 37619325
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Decoding Hand Movement Types and Kinematic Information From Electroencephalogram.
    Xu B; Wang Y; Deng L; Wu C; Zhang W; Li H; Song A
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1744-1755. PubMed ID: 34428142
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of cerebral cortices processing acceleration, velocity, and position during directional reaching movement with deep neural network and explainable AI.
    Kim H; Kim JS; Chung CK
    Neuroimage; 2023 Feb; 266():119783. PubMed ID: 36528312
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface.
    Khan SU; Majid M; Linguraru MG; Muhammad Anwar S
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082727
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Continuous decoding of movement intention of upper limb self-initiated analytic movements from pre-movement EEG correlates.
    López-Larraz E; Montesano L; Gil-Agudo Á; Minguez J
    J Neuroeng Rehabil; 2014 Nov; 11():153. PubMed ID: 25398273
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding.
    Nakagome S; Luu TP; He Y; Ravindran AS; Contreras-Vidal JL
    Sci Rep; 2020 Mar; 10(1):4372. PubMed ID: 32152333
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns.
    Mohseni M; Shalchyan V; Jochumsen M; Niazi IK
    Comput Methods Programs Biomed; 2020 Jan; 183():105076. PubMed ID: 31546195
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Reconstruction of hand, elbow and shoulder actual and imagined trajectories in 3D space using EEG slow cortical potentials.
    Sosnik R; Ben Zur O
    J Neural Eng; 2020 Feb; 17(1):016065. PubMed ID: 31747655
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Decoding individual finger movements from one hand using human EEG signals.
    Liao K; Xiao R; Gonzalez J; Ding L
    PLoS One; 2014; 9(1):e85192. PubMed ID: 24416360
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Reconstructing Synergy-Based Hand Grasp Kinematics from Electroencephalographic Signals.
    Pei D; Olikkal P; Adali T; Vinjamuri R
    Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35891029
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.