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Erik Alonso

Showing results (1-10 of 30) with videos related to

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BMJ Paediatrics Open|March 12, 2025
Artificial intelligence for weight estimation in paediatric emergency careIraia Isasi, Elisabete Aramendi, Erik Alonso, et al.
Resuscitation|September 8, 2014
Beyond ventricular fibrillation analysis: comprehensive waveform analysis for all cardiac rhythms occurring during resuscitationErik Alonso, Trygve Eftestøl, Elisabete Aramendi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
A Machine Learning Approach for Pulse Detection using Cerebral Oximetry Signals during Out-of-Hospital Cardiac ArrestAmaia Sanz-Pescador, Iraia Isasi, Erik Alonso, et al.
Medical & Biological Engineering & Computing|September 15, 2018
ECG-based pulse detection during cardiac arrest using random forest classifierAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Monitoring Chest Compression Rate in Cerebral Oximetry Signals during Cardiopulmonary Resuscitation using Wavelet AnalysisAmaia Sanz-Pescador, Erik Alonso, Iraia Isasi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Resuscitation|February 11, 2012
A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and childrenUnai Irusta, Jesús Ruiz, Elisabete Aramendi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary ResuscitationXabier Jaureguibeitia, Unai Irusta, Elisabete Aramendi, et al.
Resuscitation|February 8, 2018
Evaluation of chest compression artefact removal based on rhythm assessments made by cliniciansErik Alonso, Elisabete Aramendi, Unai Irusta, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
BMJ Paediatrics Open|March 12, 2025
Artificial intelligence for weight estimation in paediatric emergency careIraia Isasi, Elisabete Aramendi, Erik Alonso, et al.
Resuscitation|September 8, 2014
Beyond ventricular fibrillation analysis: comprehensive waveform analysis for all cardiac rhythms occurring during resuscitationErik Alonso, Trygve Eftestøl, Elisabete Aramendi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
A Machine Learning Approach for Pulse Detection using Cerebral Oximetry Signals during Out-of-Hospital Cardiac ArrestAmaia Sanz-Pescador, Iraia Isasi, Erik Alonso, et al.
Medical & Biological Engineering & Computing|September 15, 2018
ECG-based pulse detection during cardiac arrest using random forest classifierAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Monitoring Chest Compression Rate in Cerebral Oximetry Signals during Cardiopulmonary Resuscitation using Wavelet AnalysisAmaia Sanz-Pescador, Erik Alonso, Iraia Isasi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac ArrestAndoni Elola, Elisabete Aramendi, Unai Irusta, et al.
Resuscitation|February 11, 2012
A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and childrenUnai Irusta, Jesús Ruiz, Elisabete Aramendi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary ResuscitationXabier Jaureguibeitia, Unai Irusta, Elisabete Aramendi, et al.
Resuscitation|February 8, 2018
Evaluation of chest compression artefact removal based on rhythm assessments made by cliniciansErik Alonso, Elisabete Aramendi, Unai Irusta, et al.
Pageof 3