Erik
Alonso Gonzalez
Erik Alonso Gonzalez-rekin lankidetzan egindako argitalpenak (47)
2024
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Cardiac output estimation using ballistocardiography: a feasibility study in healthy subjects
Scientific Reports, Vol. 14, Núm. 1
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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
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