Publicaciones en las que colabora con Eduardo Iáñez Martínez (11)

2023

  1. Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton

    iScience, Vol. 26, Núm. 5

  2. Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking

    Frontiers in Neuroscience, Vol. 17

2022

  1. Assessing user experience with BMI-assisted exoskeleton in patients with spinal cord injury

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2022, pp. 4064-4067

2020

  1. Usability and acceptance of using a lower-limb exoskeleton controlled by a BMI in incomplete spinal cord injury patients: A case study

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

2019

  1. EEG model stability and online decoding of attentional demand during gait using gamma band features

    Neurocomputing, Vol. 360, pp. 151-162

2017

  1. Attention level measurement during exoskeleton rehabilitation through a BMI system

    Biosystems and Biorobotics (Springer International Publishing), pp. 243-247

2016

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

    PLoS ONE, Vol. 11, Núm. 4

2015

  1. Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities

    2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings

  2. Single Joint Movement Decoding from EEG in Healthy and Incomplete Spinal Cord Injured Subjects

    2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)

  3. Single joint movement decoding from EEG in healthy and incomplete spinal cord injured subjects

    IEEE International Conference on Intelligent Robots and Systems

2014

  1. Symbiotic wearable robotic exoskeletons: The concept of the BioMot project

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8820, pp. 72-83