Andoni Elola

Orcid: 0000-0003-4401-7376

According to our database1, Andoni Elola authored at least 27 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Invasive arterial blood pressure delineator for cardiopulmonary resuscitation patients during pauses of chest compressions.
Biomed. Signal Process. Control., 2024

Artificial Intelligence for End Tidal Capnography Guided Resuscitation: A Conceptual Framework.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
Development of AI-Based Tools for Power Generation Prediction.
Comput., November, 2023

Monitoring chest compressions using finger photoplethysmography in out-of-hospital cardiac arrest.
Biomed. Signal Process. Control., September, 2023

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram.
IEEE J. Biomed. Health Informatics, August, 2023

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.
Proceedings of the Computing in Cardiology, 2023

Classification of Cardiac Rhythms During Load-Distributing Band Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, 2023

2022
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.
IEEE J. Biomed. Health Informatics, 2022

Automated Algorithm for QRS Detection in Cardiac Arrest Patients with PEA.
Proceedings of the Computing in Cardiology, 2022

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.
Proceedings of the Computing in Cardiology, 2022

Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, 2022

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

Autofluorescence Image Reconstruction and Virtual Staining for In-Vivo Optical Biopsying.
IEEE Access, 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

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Towards the Prediction of Rearrest during Out-of-Hospital Cardiac Arrest.
Entropy, 2020

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.
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

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

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
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

2017
Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems.
Appl. Soft Comput., 2017

2015
A Method to Measure Ventilation Rate during Cardiopulmonary Resucitation using the Capnogram.
Proceedings of the Computing in Cardiology, 2015


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