Xabier Jaureguibeitia Lara-rekin lankidetzan egindako argitalpenak (17)

2024

  1. Artificial Intelligence for End Tidal Capnography Guided Resuscitation: A Conceptual Framework

    Proceedings of the Annual Hawaii International Conference on System Sciences

  2. Temporal Trends in End-Tidal Capnography and Outcomes in Out-of-Hospital Cardiac Arrest: A Secondary Analysis of a Randomized Clinical Trial

    JAMA network open, Vol. 7, Núm. 7, pp. e2419274

2023

  1. Bag-Valve-Mask Ventilation and Survival From Out-of-Hospital Cardiac Arrest: A Multicenter Study

    Circulation, Vol. 148, Núm. 23, pp. 1847-1856

  2. Impedance-Based Ventilation Detection and Signal Quality Control during Out-of-Hospital Cardiopulmonary Resuscitation

    IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 6, pp. 3026-3036

  3. Methods for calculating ventilation rates during resuscitation from out-of-hospital cardiac arrest

    Resuscitation, Vol. 184

2022

  1. Airway strategy and ventilation rates in the pragmatic airway resuscitation trial

    Resuscitation, Vol. 176, pp. 80-87

2021

  1. Airway strategy and chest compression quality in the Pragmatic Airway Resuscitation Trial

    Resuscitation, Vol. 162, pp. 93-98

  2. Methodology and framework for the analysis of cardiopulmonary resuscitation quality in large and heterogeneous cardiac arrest datasets

    Resuscitation, Vol. 168, pp. 44-51

  3. Novel application of thoracic impedance to characterize ventilations during cardiopulmonary resuscitation in the pragmatic airway resuscitation trial

    Resuscitation, Vol. 168, pp. 58-64

  4. Recurrent Neural Networks to Predict the Outcome of Subsequent Defibrillation Shocks in Cardiac Arrest

    Computing in Cardiology

2020

  1. Algoritmo multietapa para la detección de ventilaciones en la impedancia torácica durante la resucitación cardiopulmonar .

    XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas

  2. An Impedance-based Algorithm to Detect Ventilations during Cardiopulmonary Resuscitation

    Computing in Cardiology

  3. Aprendizaje máquina para la predicción del éxito de la desfibrilación mediante el análisis de la forma de onda de la fibrilación ventricular

    XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas

  4. Automatic Detection of Ventilations during Mechanical Cardiopulmonary Resuscitation

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 9, pp. 2580-2588

  5. Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks

    IEEE Access, Vol. 8, pp. 154746-154758

2019

  1. Algoritmo basado en redes neuronales recurrentes para la detección de ritmos desfibrilables

    Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019

  2. Impedance Based Automatic Detection of Ventilations during Mechanical Cardiopulmonary Resuscitation

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