Erik Alonso

Orcid: 0000-0002-1796-6704

According to our database1, Erik Alonso authored at least 24 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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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

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

Deep Learning for Pulse Detection in Out-of-Hospital Cardiac Arrest Using the ECG.
Proceedings of the Computing in Cardiology, 2018

A Hidden Markov Model Approach for Ventricular Fibrillation Detection.
Proceedings of the Computing in Cardiology, 2018

2017
Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG.
Proceedings of the Computing in Cardiology, 2017

2016
Monitoring the Heart Rate in Cerebral Oximetry Signals.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Cerebral Oximetry Versus Pulse Photoplethysmography to Monitor Respiration Rate.
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


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