Erik Alonso
Orcid: 0000-0002-1796-6704
According to our database1,
Erik Alonso
authored at least 24 papers
between 2013 and 2021.
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Bibliography
2021
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest.
IEEE Access, 2020
Stationary Wavelet Transform for the Extraction of the Impedance Circulation Component During Out-of-hospital Cardiac Arrest.
Proceedings of the Computing in Cardiology, 2020
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest.
Proceedings of the Computing in Cardiology, 2020
2019
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.
IEEE Trans. Biomed. Eng., 2019
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions.
IEEE Trans. Biomed. Eng., 2019
Medical Biol. Eng. Comput., 2019
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest.
Entropy, 2019
Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac Arrest.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.
Proceedings of the Computing in Cardiology, 2018
Finger Photoplethysmography to Monitor Chest Compression Rate During Out-of-Hospital Cardiac Arrest.
Proceedings of the Computing in Cardiology, 2018
Proceedings of the Computing in Cardiology, 2018
Proceedings of the Computing in Cardiology, 2018
2017
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
A Method to Measure Ventilation Rate during Cardiopulmonary Resucitation using the Capnogram.
Proceedings of the Computing in Cardiology, 2015
2014
Comparison of Time and Frequency Domain Methods for the Feedback on Chest Compression Rate.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Empirical Mode Decomposition for Chest Compression and Ventilation Detection in Cardiac Arrest.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
A Simple Impedance-Based Method for Ventilation Detection During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, 2013
A New Algorithm to Diagnose during Chest Compressions: Effects on Cardiopulmonary Resuscitation Delivery.
Proceedings of the Computing in Cardiology, 2013
Study on the Linear Relation Between Chest Compression Depth and the Fluctuation Caused in the Thoracic Impedance Acquired by Defibrillation Pads.
Proceedings of the Computing in Cardiology, 2013