Hospital Universitario de Canarias -ko ikertzaileekin lankidetzan egindako argitalpenak (23)

2021

  1. Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients under General Anesthesia

    Logic Journal of the IGPL, Vol. 29, Núm. 2, pp. 193-206

2020

  1. Adaptive drug interaction model to predict depth of anesthesia in the operating room

    Biomedical Signal Processing and Control, Vol. 59

  2. Machine learning based method for the evaluation of the Analgesia Nociception Index in the assessment of general anesthesia

    Computers in Biology and Medicine, Vol. 118

  3. Modelling the PSI response in general anesthesia

    Journal of Clinical Monitoring and Computing, Vol. 35, Núm. 5, pp. 1015-1025

2019

  1. Closed loop administration of propofol based on a Smith predictor: A randomized controlled trial

    Minerva Anestesiologica, Vol. 85, Núm. 6, pp. 585-593

  2. Inferring Knowledge from Clinical Data for Anesthesia Automation

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

  3. Inferring Knowledge from Clinical Data for Anesthesia Automation

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

  4. Modelling the hypnotic patient response in general anaesthesia using intelligent models

    Logic Journal of the IGPL, Vol. 27, Núm. 2, pp. 189-201

2018

  1. A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine

    Complexity, Vol. 2018

  2. A machine learning based system for analgesic drug delivery

    Advances in Intelligent Systems and Computing

  3. Improving the anesthetic process by a fuzzy rule based medical decision system

    Artificial Intelligence in Medicine, Vol. 84, pp. 159-170

  4. Remifentanil dose prediction for patients during general anesthesia

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

2017

  1. Adaptive fuzzy modeling of the hypnotic process in anesthesia

    Journal of Clinical Monitoring and Computing, Vol. 31, Núm. 2, pp. 319-330

2016

  1. Adaptive fuzzy predictive controller for anesthesia delivery

    Control Engineering Practice, Vol. 46, pp. 1-9

  2. Adaptive pharmacokinetic and pharmacodynamic modelling to predict propofol effect using BIS-guided anesthesia

    Computers in Biology and Medicine, Vol. 75, pp. 173-180

  3. Experimental Techniques to Measure Hypnotic Levels During Surgery

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

2013

  1. Modelling propofol pharmacodynamics using BIS-guided anaesthesia

    Anaesthesia, Vol. 68, Núm. 11, pp. 1132-1140

2012

  1. Design and implementation of a closed-loop control system for infusion of propofol guided by bispectral index (BIS)

    Acta Anaesthesiologica Scandinavica, Vol. 56, Núm. 8, pp. 1032-1041

2010

  1. Predictive algorithm for intravenous anesthesia control

    2010 8th IEEE International Conference on Control and Automation, ICCA 2010

2009

  1. Adaptive computer control of anesthesia in humans

    Computer Methods in Biomechanics and Biomedical Engineering, Vol. 12, Núm. 6, pp. 727-734