Unai Irusta

发表

ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis

Aggelos K. Katsaggelos, Ali Bahrami Rad, Trygve Eftestøl, 2017, IEEE Transactions on Biomedical Engineering.

Monitoring the heart rate in cerebral oximetry signals

Unai Irusta, Iraia Isasi, Elisabete Aramendi, 2016, 2016 Computing in Cardiology Conference (CinC).

ECG-based Random Forest Classifier for Cardiac Arrest Rhythms

Javier Del Ser, Unai Irusta, Eric L. Manibardo, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Filtering chest compression artifacts improves the performance of VF-detection parameters

Digna M. González-Otero, Trygve Eftestøl, Unai Irusta, 2014, Computing in Cardiology 2014.

Finger Photoplethysmography to Monitor Chest Compression Rate During Out-of-Hospital Cardiac Arrest

Unai Irusta, Elisabete Aramendi, Erik Alonso, 2018, 2018 Computing in Cardiology Conference (CinC).

Few-Shot Learning approach for plant disease classification using images taken in the field

Unai Irusta, Aitor Alvarez-Gila, Arantza Bereciartua, 2020, Comput. Electron. Agric..

A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2019, IEEE Transactions on Biomedical Engineering.

Performance of VF detection parameters in an algorithm design scenario and in a real resuscitation scenario

Unai Irusta, Erik Alonso, Unai Ayala, 2011, 2011 Computing in Cardiology.

A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest

Unai Irusta, Elisabete Aramendi, Erik Alonso, 2020, IEEE Access.

A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions

Unai Irusta, Jo Kramer-Johansen, Iraia Isasi, 2019, IEEE Transactions on Biomedical Engineering.

ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers

Ali Bahrami Rad, Trygve Eftestøl, Unai Irusta, 2018, 2018 Computing in Cardiology Conference (CinC).

A New Method for Feedback on the Quality of Chest Compressions during Cardiopulmonary Resuscitation

Sofía Ruiz de Gauna, Unai Irusta, Erik Alonso, 2014, BioMed research international.

A New Alternative for the Input-Voltage Adaptor of the IEC Flickermeter

Unai Irusta, J. Julio Gutiérrez, Sofía Ruiz de Gauna, 2008, IEEE Transactions on Instrumentation and Measurement.

Sample entropy as a shock outcome predictor during basis life support

Daniel Alonso, Unai Irusta, Elisabete Aramendi, 2015, 2015 Computing in Cardiology Conference (CinC).

Towards the Prediction of Rearrest during Out-of-Hospital Cardiac Arrest

Unai Irusta, Elisabete Aramendi, Andoni Elola, 2020, Entropy.

Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia

Felipe Alonso-Atienza, Trygve Eftestøl, Unai Irusta, 2019, PloS one.

Nonlinear energy operators for defibrillation shock outcome prediction

Unai Irusta, Iraia Isasi, Elisabete Aramendi, 2016 .

Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest

Unai Irusta, Artzai Picón, Elisabete Aramendi, 2019, Entropy.

Removing piston-driven mechanical chest compression artefacts from the ECG

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2017, 2017 Computing in Cardiology (CinC).

Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation

Unai Irusta, Elisabete Aramendi, Ahamed Idris, 2020, IEEE Journal of Biomedical and Health Informatics.

A Hidden Markov Model Approach for Ventricular Fibrillation Detection

Unai Irusta, Elisabete Aramendi, Erik Alonso, 2018, 2018 Computing in Cardiology Conference (CinC).

An Accurate Shock Advise Algorithm for Use During Piston-Driven Chest Compressions

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2018, 2018 Computing in Cardiology Conference (CinC).

Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest

Daniel Alonso, Unai Irusta, Raúl Alcaraz, 2018, Entropy.

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

Javier Del Ser, Unai Irusta, Elisabete Aramendi, 2018, Medical & Biological Engineering & Computing.

A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2009, IEEE Transactions on Biomedical Engineering.

Deep Learning for Pulse Detection in Out-of-Hospital Cardiac Arrest Using the ECG

Unai Irusta, Artzai Picón, Elisabete Aramendi, 2018, 2018 Computing in Cardiology Conference (CinC).

Cerebral oximetry versus pulse photoplethysmography to monitor respiration rate

Unai Irusta, Iraia Isasi, Elisabete Aramendi, 2016, 2016 Computing in Cardiology Conference (CinC).

Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac Arrest

Unai Irusta, Iraia Isasi, Elisabete Aramendi, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A new algorithm to diagnose during chest compressions: Effect on cardiopulmonary resuscitation delivery

Digna M. González-Otero, Trygve Eftestøl, Unai Irusta, 2013, Computing in Cardiology 2013.

Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks

Unai Irusta, Elisabete Aramendi, Carlos Corcuera, 2020, IEEE Access.

A Precise Analysis of the IEC Flickermeter When Subject to Rectangular Voltage Fluctuations

Unai Irusta, J. Julio Gutiérrez, Jesús Ruiz, 2009, IEEE Transactions on Instrumentation and Measurement.

Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2020, Entropy.

Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

Unai Irusta, Raúl Alcaraz, José Joaquín Rieta, 2016, Entropy.

A method to measure ventilation rate during cardiopulmonary resuscitation using the capnogram

James K. Russell, Unai Irusta, Elisabete Aramendi, 2015, 2015 Computing in Cardiology Conference (CinC).

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions

Trygve Eftestøl, Unai Irusta, Jo Kramer-Johansen, 2019, IEEE Access.

Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation

Unai Irusta, Elisabete Aramendi, Erik Alonso, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Recurrent Neural Networks to Predict the Outcome of Subsequent Defibrillation Shocks in Cardiac Arrest

Unai Irusta, Elisabete Aramendi, Xabier Jaureguibeitia, 2021, 2021 Computing in Cardiology (CinC).

Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac Arrest

Unai Irusta, Lars Wik, Elisabete Aramendi, 2020, IEEE Transactions on Biomedical Engineering.

A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest

Unai Irusta, Elisabete Aramendi, Andoni Elola, 2021, Entropy.

An algorithm to discriminate supraventricular from ventricular tachycardia in automated external defibrillators valid for adult and paediatric patients.

Unai Irusta, Jesús Ruiz, U. Irusta, 2009, Resuscitation.

A method to remove CPR artefacts from human ECG using only the recorded ECG.

Jesus Ruiz, Trygve Eftestøl, Unai Irusta, 2008, Resuscitation.

Filtering the cardiopulmonary resuscitation artifact: Influence of the signal-to-noise-ratio on the accuracy of the shock advice algorithm

Jesus Ruiz, Unai Irusta, Unai Ayala, 2010, 2010 Computing in Cardiology.