UNAI
IRUSTA ZARANDONA
Ikertzaileren 2003-2021 tartean
ERIK
ALONSO GONZALEZ
IRAKASLE AGREGATUA
ERIK ALONSO GONZALEZ-rekin lankidetzan egindako argitalpenak (44)
2022
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Airway strategy and ventilation rates in the pragmatic airway resuscitation trial
Resuscitation, Vol. 176, pp. 80-87
2021
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A Machine Learning-Based Pulse Detection Algorithm for Use during Cardiopulmonary Resuscitation
Computing in Cardiology
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Airway strategy and chest compression quality in the Pragmatic Airway Resuscitation Trial
Resuscitation, Vol. 162, pp. 93-98
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Methodology and framework for the analysis of cardiopulmonary resuscitation quality in large and heterogeneous cardiac arrest datasets
Resuscitation, Vol. 168, pp. 44-51
2020
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A Machine Learning Framework for Pulse Detection during Out-of-Hospital Cardiac Arrest
IEEE Access, Vol. 8, pp. 161031-161041
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A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest
Computing in Cardiology
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Stationary Wavelet Transform for the Extraction of the Impedance Circulation Component during Out-of-hospital Cardiac Arrest
Computing in Cardiology
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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
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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
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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
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Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest
Resuscitation, Vol. 142, pp. 153-161
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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
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Deep neural networks for ECG-based pulse detection during out-of-hospital cardiac arrest
Entropy, Vol. 21, Núm. 3
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ECG-based pulse detection during cardiac arrest using random forest classifier
Medical and Biological Engineering and Computing, Vol. 57, Núm. 2, pp. 453-462
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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
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A Hidden Markov Model Approach for Ventricular Fibrillation Detection
Computing in Cardiology
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An Accurate Shock Advise Algorithm for Use during Piston-Driven Chest Compressions
Computing in Cardiology
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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
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Deep Learning for Pulse Detection in Out-of-Hospital Cardiac Arrest Using the ECG
Computing in Cardiology
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Evaluation of chest compression artefact removal based on rhythm assessments made by clinicians
Resuscitation, Vol. 125, pp. 104-110