Elisabete Aramendi

Orcid: 0000-0002-6409-1429

According to our database1, Elisabete Aramendi authored at least 52 papers between 2003 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
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

Impedance-Based Ventilation Detection and Signal Quality Control During Out-of-Hospital Cardiopulmonary Resuscitation.
IEEE J. Biomed. Health Informatics, June, 2023

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

A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients.
Proceedings of the Computing in Cardiology, 2023

2022
Automated Algorithm for QRS Detection in Cardiac Arrest Patients with PEA.
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

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
Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation.
IEEE J. Biomed. Health Informatics, 2020

Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks.
Entropy, 2020

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

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

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions.
IEEE Access, 2019

ECG-based Random Forest Classifier for Cardiac Arrest Rhythms.
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

Deep Learning for Pulse Detection in Out-of-Hospital Cardiac Arrest Using the ECG.
Proceedings of the Computing in Cardiology, 2018

A Hidden Markov Model Approach for Ventricular Fibrillation Detection.
Proceedings of the Computing in Cardiology, 2018

2017
Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG.
Proceedings of the Computing in Cardiology, 2017

2016
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest.
Entropy, 2016

Monitoring the Heart Rate in Cerebral Oximetry Signals.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Cerebral Oximetry Versus Pulse Photoplethysmography to Monitor Respiration Rate.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Nonlinear Energy Operators for Defibrillation Shock Outcome Prediction.
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

Sample Entropy as a Shock Outcome Predictor during Basic Life Support.
Proceedings of the Computing in Cardiology, 2015

2014
Comparison of Time and Frequency Domain Methods for the Feedback on Chest Compression Rate.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Empirical Mode Decomposition for Chest Compression and Ventilation Detection in Cardiac Arrest.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
A Simple Impedance-Based Method for Ventilation Detection During Cardiopulmonary Resuscitation.
Proceedings of the Computing in Cardiology, 2013

Study on the Linear Relation Between Chest Compression Depth and the Fluctuation Caused in the Thoracic Impedance Acquired by Defibrillation Pads.
Proceedings of the Computing in Cardiology, 2013

2003
Assessment of Flicker Compensation based on a Single Phase Series Active Filter and a Simple Control Scheme.
Proceedings of the 22nd IASTED International Conference on Modelling, 2003


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