Unai Irusta
Orcid: 0000-0001-9521-1852Affiliations:
- University of the Basque Country, Leioa, Spain
According to our database1,
Unai Irusta
authored at least 45 papers
between 2008 and 2021.
Collaborative distances:
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Bibliography
2021
Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac Arrest.
IEEE Trans. Biomed. Eng., 2021
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest.
Entropy, 2021
Automated Detection of Pulse Using Continuous Invasive Arterial Blood Pressure in Patients During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Recurrent Neural Networks to Predict the Outcome of Subsequent Defibrillation Shocks in Cardiac Arrest.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks.
Entropy, 2020
Entropy, 2020
Few-Shot Learning approach for plant disease classification using images taken in the field.
Comput. Electron. Agric., 2020
Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks.
IEEE Access, 2020
A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest.
IEEE Access, 2020
A Method to Detect Pauses for Ventilation During Cardiopulmonary Resuscitation Using the Thoracic Impedance.
Proceedings of the Computing in Cardiology, 2020
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation.
Proceedings of the Computing in Cardiology, 2020
An Impedance-based Algorithm to Detect Ventilations During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, 2020
Detection of Shockable Rhythms Using Convolutional Neural Networks During Chest Compressions Provided by a Load Distributing Band.
Proceedings of the Computing in Cardiology, 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
IEEE Access, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR.
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
Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest.
Entropy, 2018
ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers.
Proceedings of the Computing in Cardiology, 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
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis.
IEEE Trans. Biomed. Eng., 2017
Proceedings of the Computing in Cardiology, 2017
2016
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest.
Entropy, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 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
Proceedings of the Computing in Cardiology, 2015
2014
Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
A New Algorithm to Diagnose during Chest Compressions: Effects on Cardiopulmonary Resuscitation Delivery.
Proceedings of the Computing in Cardiology, 2013
2009
A Precise Analysis of the IEC Flickermeter When Subject to Rectangular Voltage Fluctuations.
IEEE Trans. Instrum. Meas., 2009
A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions.
IEEE Trans. Biomed. Eng., 2009
2008
IEEE Trans. Instrum. Meas., 2008