User profiles for Erik Alonso
Erik AlonsoUniversity of the Basque Country (UPV/EHU) Verified email at ehu.es Cited by 1004 |
[HTML][HTML] Deep neural networks for ECG-based pulse detection during out-of-hospital cardiac arrest
The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary
for the early recognition of the arrest and the detection of return of spontaneous circulation (…
for the early recognition of the arrest and the detection of return of spontaneous circulation (…
A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and children
AIM: To design the core algorithm of a high-temporal resolution rhythm analysis algorithm
for automated external defibrillators (AEDs) valid for adults and children. Records from adult …
for automated external defibrillators (AEDs) valid for adults and children. Records from adult …
Circulation detection using the electrocardiogram and the thoracic impedance acquired by defibrillation pads
Aim To develop and evaluate a method to detect circulation in the presence of organized
rhythms (ORs) during resuscitation using signals acquired by defibrillation pads. Methods …
rhythms (ORs) during resuscitation using signals acquired by defibrillation pads. Methods …
Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest
Background Automated detection of return of spontaneous circulation (ROSC) is still an
unsolved problem during cardiac arrest. Current guidelines recommend the use of capnography, …
unsolved problem during cardiac arrest. Current guidelines recommend the use of capnography, …
Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metrics
E Alonso, J Ruiz, E Aramendi, D González-Otero… - Resuscitation, 2015 - Elsevier
Aim To determine the accuracy and reliability of the thoracic impedance (TI) signal to
assess cardiopulmonary resuscitation (CPR) quality metrics. Methods A dataset of 63 out-of-…
assess cardiopulmonary resuscitation (CPR) quality metrics. Methods A dataset of 63 out-of-…
ECG-based pulse detection during cardiac arrest using random forest classifier
Sudden cardiac arrest is one of the leading causes of death in the industrialized world.
Pulse detection is essential for the recognition of the arrest and the recognition of return of …
Pulse detection is essential for the recognition of the arrest and the recognition of return of …
A machine learning shock decision algorithm for use during piston-driven chest compressions
Goal: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation (CPR)
would contribute to improve therapy and increase cardiac arrest survival rates. The …
would contribute to improve therapy and increase cardiac arrest survival rates. The …
Beyond ventricular fibrillation analysis: Comprehensive waveform analysis for all cardiac rhythms occurring during resuscitation
Aim To propose a method which analyses the electrocardiogram (ECG) waveform of any
cardiac rhythm occurring during resuscitation and computes the probability of that rhythm …
cardiac rhythm occurring during resuscitation and computes the probability of that rhythm …
Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation
Aim The rates of chest compressions (CCs) and ventilations are both important metrics to
monitor the quality of cardiopulmonary resuscitation (CPR). Capnography permits monitoring …
monitor the quality of cardiopulmonary resuscitation (CPR). Capnography permits monitoring …
Airway strategy and ventilation rates in the pragmatic airway resuscitation trial
Background We sought to describe ventilation rates during out-of-hospital cardiac arrest (OHCA)
resuscitation and their associations with airway management strategy and outcomes. …
resuscitation and their associations with airway management strategy and outcomes. …