Publicaciones (41) Publicaciones de José Manuel Cano Izquierdo

2023

  1. Applying deep learning in brain computer interface to classify motor imagery

    Journal of Intelligent and Fuzzy Systems, Vol. 45, Núm. 5, pp. 8747-8760

2022

  1. Detecting the Speed Change Intention from EEG Signals: From the Offline and Pseudo-Online Analysis to an Online Closed-Loop Validation

    Applied Sciences (Switzerland), Vol. 12, Núm. 1

2021

  1. Analysis of frequency bands and channels configuration for detecting intention of change speed through EEG

    International IEEE/EMBS Conference on Neural Engineering, NER

2018

  1. GMDH ANN to optimise model development: Prediction of the pressure drop and the heat transfer coefficient during condensation within mini-channels

    Applied Thermal Engineering, Vol. 144, pp. 321-330

  2. Influencia del exoesqueleto de miembro inferior en señales eeg

    XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018

2016

  1. Are low cost Brain Computer Interface headsets ready for motor imagery applications?

    Expert Systems with Applications, Vol. 49, pp. 136-144

  2. Voting Strategy to Enhance Multimodel EEG-Based Classifier Systems for Motor Imagery BCI

    IEEE Systems Journal, Vol. 10, Núm. 3, pp. 1082-1088

2015

  1. Feature selection applying statistical and neurofuzzy methods to EEG-based BCI

    Computational Intelligence and Neuroscience, Vol. 2015

  2. Supervised and dynamic neuro-fuzzy systems to classify physiological responses in robot-assisted neurorehabilitation

    PLoS ONE, Vol. 10, Núm. 5

2014

  1. Implementación de una librería en simulink para el desarrollo de interfaces cerebro-computador

    XXXV Jornadas de automática: Valencia, del 3 al 5 de septiembre de 2014

  2. Tuning rules for a quick start up in Dynamic Matrix Control

    ISA Transactions, Vol. 53, Núm. 2, pp. 612-627

2013

  1. How well Fuzzy ARTMAP approximates functions?

    Journal of Intelligent and Fuzzy Systems, Vol. 25, Núm. 2, pp. 335-350

  2. Implementación de una red neuronal para la predicción de la caída de presión en minicanales

    VIII Congreso Nacional de Ingeniería Termodinámica. [Recurso electrónico]: libro de actas

2012

  1. Control loop performance assessment with a dynamic neuro-fuzzy model (dFasArt)

    IEEE Transactions on Automation Science and Engineering, Vol. 9, Núm. 2, pp. 377-389

  2. Improving motor imagery classification with a new BCI design using neuro-fuzzy S-dFasArt

    IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 20, Núm. 1, pp. 2-7

2011

  1. Modelling an absorption system assisted by solar energy

    Applied Thermal Engineering, Vol. 31, Núm. 1, pp. 112-118

2010

  1. Applying neuro-fuzzy model dFasArt in control systems

    Engineering Applications of Artificial Intelligence, Vol. 23, Núm. 7, pp. 1053-1063

  2. Maneuver prediction for road vehicles based on a neuro-fuzzy architecture with a low-cost navigation unit

    IEEE Transactions on Intelligent Transportation Systems, Vol. 11, Núm. 2, pp. 498-504

  3. Maneuver prediction for road vehicles based on a novel neuro-fuzzy dynamic architecture

    Robotics and Autonomous Systems, Vol. 58, Núm. 12, pp. 1316-1320

2009

  1. A new metric for supervised dFasArt based on size-dependent scatter matrices that enhances maneuver prediction in road vehicles

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)