Publikationen, an denen er mitarbeitet Unai Ayala Fernández (14)

2015

  1. Chest compression rate feedback based on transthoracic impedance

    Resuscitation, Vol. 93, pp. 82-88

  2. Fully automatic rhythm analysis during chest compression pauses

    Resuscitation, Vol. 89, Núm. C, pp. 25-30

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

    Resuscitation, Vol. 88, pp. 28-34

2014

  1. A New Method for Feedback on the Quality of Chest Compressions during Cardiopulmonary Resuscitation

    BioMed Research International, Vol. 2014

  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. 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. Feasibility of automated rhythm assessment in chest compression pauses during cardiopulmonary resuscitation

    Resuscitation, Vol. 84, Núm. 9, pp. 1223-1228

  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. Automatic detection of chest compression pauses using the transthoracic impedance signal

    Computing in Cardiology

2010

  1. Filtering the cardiopulmonary resuscitation artifact: Influence of the signal-to-noise-ratio on the accuracy of the shock advice algorithm

    Computing in Cardiology