ELISABETE ARAMENDI ECENARRO-rekin lankidetzan egindako argitalpenak (67)

2024

  1. Amplitude spectral area of ventricular fibrillation can discriminate survival of patients with out-of-hospital cardiac arrest

    Frontiers in Cardiovascular Medicine, Vol. 11

  2. Cardiac output estimation using ballistocardiography: a feasibility study in healthy subjects

    Scientific Reports, Vol. 14, Núm. 1

  3. Spanish vs USA cohort comparison of prehospital trauma scores to predict short-term mortality

    Clinical Medicine, Journal of the Royal College of Physicians of London, Vol. 24, Núm. 3

2023

  1. Amplitude spectral area of ventricular fibrillation and defibrillation success at low energy in out-of-hospital cardiac arrest

    Internal and Emergency Medicine, Vol. 18, Núm. 8, pp. 2397-2405

  2. Classification of Cardiac Rhythms During Load-Distributing Band Cardiopulmonary Resuscitation

    Computing in Cardiology

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

    Resuscitation, Vol. 184

  4. aMplitude spectral area of ventricular fibrillation and amiOdarone Study in patients with out-of-hospital cArdIaC arrest. The MOSAIC study

    Frontiers in Cardiovascular Medicine, Vol. 10

2022

  1. Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation

    Computing in Cardiology

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

    Resuscitation, Vol. 176, pp. 80-87

2021

  1. A Machine Learning-Based Pulse Detection Algorithm for Use during Cardiopulmonary Resuscitation

    Computing in Cardiology

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

    Resuscitation, Vol. 162, pp. 93-98

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

    Resuscitation, Vol. 168, pp. 44-51

  4. Shock decision algorithm for use during load distributing band cardiopulmonary resuscitation

    Resuscitation, Vol. 165, pp. 93-100

2020

  1. A Machine Learning Framework for Pulse Detection during Out-of-Hospital Cardiac Arrest

    IEEE Access, Vol. 8, pp. 161031-161041

  2. A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest

    Computing in Cardiology

  3. Detection of Shockable Rhythms Using Convolutional Neural Networks during Chest Compressions Provided by a Load Distributing Band

    Computing in Cardiology

  4. Restoration of the electrocardiogram during mechanical cardiopulmonary resuscitation

    Physiological Measurement, Vol. 41, Núm. 10

  5. Rhythm analysis during cardiopulmonary resuscitation using convolutional neural networks

    Entropy, Vol. 22, Núm. 6

  6. Stationary Wavelet Transform for the Extraction of the Impedance Circulation Component during Out-of-hospital Cardiac Arrest

    Computing in Cardiology

  7. Transformada wavelet estacionaria y redes neuronales para la detección de pulso en episodios de parada cardiorrespiratoria

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