Publikationen, an denen er mitarbeitet José María Azorín Poveda (91)

2024

  1. Optimización del registro en tiempo real de sensor de fuerza

    Jornadas de Automática, Núm. 45

2018

  1. Central nervous system modulates the neuromechanical delay in a broad range for the control of muscle force

    Journal of Applied Physiology, Vol. 125, Núm. 5, pp. 1404-1410

  2. Estimation of neuromuscular primitives from EEG slow cortical potentials in incomplete spinal cord injury individuals for a new class of brain-machine interfaces

    Frontiers in Computational Neuroscience, Vol. 12

  3. Offline Lower-Limb Kinematic Decodification by Segments of EEG Signals

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  4. Offline Lower-Limb Kinematic Decodification by Segments of EEG Signals

    2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

2017

  1. Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

    Journal of NeuroEngineering and Rehabilitation, Vol. 14, Núm. 1, pp. 1-14

  2. Corticospinal coherence during frequency-modulated isometric ankle dorsiflexion

    Biosystems and Biorobotics (Springer International Publishing), pp. 135-140

  3. Decoding Muscle Excitation Primitives from Slow Cortical Potentials During Knee Flexion-Extension

    Biosystems and Biorobotics (Springer International Publishing), pp. 1151-1156

  4. Electromechanical delay in the tibialis anterior muscle during time-varying ankle dorsiflexion

    IEEE International Conference on Rehabilitation Robotics

  5. Electromechanical delay in the tibialis anterior muscle during time-varying ankle dorsiflexion

    2017 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR)

  6. Evaluating cognitive mechanisms during walking from eeg signals

    Biosystems and Biorobotics (Springer International Publishing), pp. 1463-1467

  7. Pseudo-Online Detection of Intention of Pedaling Start Cycle Through EEG Signals

    Biosystems and Biorobotics (Springer International Publishing), pp. 1103-1107

2016

  1. A New Upgrading Model for Detecting the Reaction to Obstacle Appearance During Walking Using EEG

    Actas de las XXXVII Jornadas de Automática: Madrid. 7, 8 y 9 de septiembre de 2016

  2. Characterization of artifacts produced by gel displacement on non-invasive Brain-Machine Interfaces during ambulation

    Frontiers in Neuroscience, Vol. 10, Núm. FEB

  3. Decoding the attentional demands of gait through EEG gamma band features

    PLoS ONE, Vol. 11, Núm. 4

  4. Detection of gait initiation through a ERD-based brain-computer interface

    Biosystems and Biorobotics (Springer International Publishing), pp. 141-150

  5. Detection of intention of pedaling start cycle through EEG signals

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  6. Detection of intention of pedaling start cycle through EEG signals

    2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

  7. EEG-Based Detection of Starting and Stopping during Gait Cycle

    International Journal of Neural Systems

  8. Evaluating decoding performance of upper limb imagined trajectories during center-out reaching tasks

    2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings