Publikationen, an denen er mitarbeitet Unai Ayala Fernández (23)

2019

  1. A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions

    IEEE Transactions on Biomedical Engineering, Vol. 66, Núm. 6, pp. 1752-1760

  2. A Multistage Algorithm for ECG Rhythm Analysis during Piston-Driven Mechanical Chest Compressions

    IEEE Transactions on Biomedical Engineering, Vol. 66, Núm. 1, pp. 263-272

  3. Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia

    PLoS ONE, Vol. 14, Núm. 5

2018

  1. An Accurate Shock Advise Algorithm for Use during Piston-Driven Chest Compressions

    Computing in Cardiology

2017

  1. Removing piston-driven mechanical chest compression artefacts from the ECG

    Computing in Cardiology

2016

  1. Filtering mechanical chest compression artefacts from out-of-hospital cardiac arrest data

    Resuscitation, Vol. 98, pp. 41-47

  2. Machine learning techniques for the detection of shockable rhythms in automated external defibrillators

    PLoS ONE, Vol. 11, Núm. 7

2015

  1. Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metrics

    Resuscitation, Vol. 88, pp. 28-34

2014

  1. Automatic detection of chest compressions for the assessment of CPR-quality parameters

    Resuscitation, Vol. 85, Núm. 7, pp. 957-963

  2. Can thoracic impedance monitor the depth of chest compressions during out-of-hospital cardiopulmonary resuscitation?

    Resuscitation, Vol. 85, Núm. 5, pp. 637-643

  3. Comparison of time and frequency domain methods for the feedback on chest compression rate

    Computing in Cardiology

  4. Empirical mode decomposition for chest compression and ventilation detection in cardiac arrest

    Computing in Cardiology

  5. Rhythm analysis during cardiopulmonary resuscitation: Past, present, and future

    BioMed Research International, Vol. 2014

2013

  1. A simple impedance-based method for ventilation detection during cardiopulmonary resuscitation

    Computing in Cardiology

  2. Direct evaluation of the effect of filtering the chest compression artifacts on the uninterrupted cardiopulmonary resuscitation time

    American Journal of Emergency Medicine, Vol. 31, Núm. 6, pp. 910-915

  3. Reliable extraction of the circulation component in the thoracic impedance measured by defibrillation pads

    Resuscitation, Vol. 84, Núm. 10, pp. 1345-1352

  4. Study on the linear relation between chest compression depth and the fluctuation caused in the thoracic impedance acquired by defibrillation pads

    Computing in Cardiology

2012

  1. A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and children

    Resuscitation, Vol. 83, Núm. 9, pp. 1090-1097

  2. Suppression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedance

    Resuscitation, Vol. 83, Núm. 6, pp. 692-698

  3. Suppression of the respiration artefact and extraction of the cardiac component in the thoracic impedance recorded through defibrillation pads

    Computing in Cardiology