Publicaciones (57) Publicaciones de ERIK ALONSO GONZALEZ

2024

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

    Scientific Reports, Vol. 14, Núm. 1

2023

  1. 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. 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

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

    Computing in Cardiology

  4. 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

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. Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest

    Resuscitation, Vol. 142, pp. 153-161

  4. Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac Arrest

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

  5. Deep neural networks for ECG-based pulse detection during out-of-hospital cardiac arrest

    Entropy, Vol. 21, Núm. 3

  6. ECG-based pulse detection during cardiac arrest using random forest classifier

    Medical and Biological Engineering and Computing, Vol. 57, Núm. 2, pp. 453-462

  7. 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

2018

  1. A Hidden Markov Model Approach for Ventricular Fibrillation Detection

    Computing in Cardiology

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

    Computing in Cardiology

  3. Arquitecturas de aprendizaje profundo para la detección de pulso en la parada cardiaca extrahospitalaria utilizando el ECG

    Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica