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Elisabete Aramendi Ecenarro
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2020 – today
- 2025
[j20]Itziar Egusquiza
, Leire Benito-Del-Valle, Artzai Picón, Arantza Bereciartua-Perez, Laura Gómez-Zamanillo, Andoni Elola, Elisabete Aramendi, Rocío Espejo, Till Eggers, Christian Klukas, Ramón Navarra-Mestre:
When synthetic plants get sick: Disease graded image datasets by novel regression-conditional diffusion models. Comput. Electron. Agric. 229: 109690 (2025)- [j19]Jon Urteaga, Andoni Elola, Daniel Herráez, Anders Norvik, Eirik Unneland, Abhishek Bhardwaj, David Buckler, Benjamin S. Abella, Eirik Skogvoll, Elisabete Aramendi:
A deep learning model for QRS delineation in organized rhythms during in-hospital cardiac arrest. Int. J. Medical Informatics 196: 105803 (2025) - 2024
- [j18]Jon Urteaga, Andoni Elola, Elisabete Aramendi, Per Olav Berve, Lars Wik:
Invasive arterial blood pressure delineator for cardiopulmonary resuscitation patients during pauses of chest compressions. Biomed. Signal Process. Control. 94: 106349 (2024) - [c36]Amaia Sanz-Pescador, Erik Alonso, Iraia Isasi, Andima Larrea, Ruth Salaberria, Elisabete Aramendi:
Monitoring Chest Compression Rate in Cerebral Oximetry Signals during Cardiopulmonary Resuscitation using Wavelet Analysis. EMBC 2024: 1-4 - [c35]Jon Urteaga, Andoni Elola, Per Olav Berve, Lars Wik, Elisabete Aramendi:
A Random Forest Model for Pulseless Electrical Activity Prognosis Prediction During Out-of-Hospital Cardiac Arrest Using Invasive Blood Pressure. EMBC 2024: 1-5 - [c34]Michelle Nassal, Nithin Sugavanam, Elisabete Aramendi, Xabier Jaureguibeitia, Andoni Elola, Ashish Panchal, Alexander Ulintz, Henry Wang, Emre Ertin:
Artificial Intelligence for End Tidal Capnography Guided Resuscitation: A Conceptual Framework. HICSS 2024: 3898-3903 - 2023
- [j17]Jon Urteaga, Elisabete Aramendi, Andoni Elola, Mohamud Daya, Ahamed H. Idris:
Monitoring chest compressions using finger photoplethysmography in out-of-hospital cardiac arrest. Biomed. Signal Process. Control. 86(Part A): 105144 (2023) - [j16]Xabier Jaureguibeitia, Elisabete Aramendi, Henry E. Wang, Ahamed H. Idris:
Impedance-Based Ventilation Detection and Signal Quality Control During Out-of-Hospital Cardiopulmonary Resuscitation. IEEE J. Biomed. Health Informatics 27(6): 3026-3036 (2023) - [j15]Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad:
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. IEEE J. Biomed. Health Informatics 27(8): 3856-3866 (2023) - [c33]Trygve Eftestøl, Mari A Hognestad, Sander A. Søndeland, Ali Bahrami Rad, Elisabete Aramendi, Lars Wik, Jo Kramer-Johansen:
A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients. CinC 2023: 1-4 - [c32]Andoni Elola, Iraia Isasi, Sara Entenza, Elisabete Aramendi, Lars Wik:
Classification of Cardiac Rhythms During Load-Distributing Band Cardiopulmonary Resuscitation. CinC 2023: 1-4 - 2022
- [c31]Alvaro Iza, Andoni Elola, Iraia Isasi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation. CinC 2022: 1-4 - [c30]Jon Urteaga, Andoni Elola, Elisabete Aramendi, Anders Norvik, Eirik Unneland, Eirik Skogvoll:
Automated Algorithm for QRS Detection in Cardiac Arrest Patients with PEA. CinC 2022: 1-4 - [i1]Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad:
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram. CoRR abs/2209.13385 (2022) - 2021
- [j14]Jon Urteaga, Elisabete Aramendi, Andoni Elola, Unai Irusta, Ahamed H. Idris:
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest. Entropy 23(7): 847 (2021) - [j13]Andoni Elola, Elisabete Aramendi, Unai Irusta, Per Olav Berve, Lars Wik:
Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac Arrest. IEEE Trans. Biomed. Eng. 68(6): 1913-1922 (2021) - [c29]Iraia Isasi, Erik Alonso, Unai Irusta, Elisabete Aramendi, Morteza Zabihi, Ali Bahrami Rad, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. CinC 2021: 1-4 - [c28]Xabier Jaureguibeitia, Gorka Zubia, Unai Irusta, Elisabete Aramendi, Giuseppe Ristagno:
Recurrent Neural Networks to Predict the Outcome of Subsequent Defibrillation Shocks in Cardiac Arrest. CinC 2021: 1-4 - [c27]Jon Urteaga, Andoni Elola, Elisabete Aramendi, Unai Irusta, Per Olav Berve, Lars Wik:
Automated Detection of Pulse Using Continuous Invasive Arterial Blood Pressure in Patients During Cardiopulmonary Resuscitation. CinC 2021: 1-4 - 2020
- [j12]Xabier Jaureguibeitia, Gorka Zubia, Unai Irusta, Elisabete Aramendi, Beatriz Chicote, Daniel Alonso, Andima Larrea, Carlos Corcuera:
Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks. IEEE Access 8: 154746-154758 (2020) - [j11]Erik Alonso, Unai Irusta, Elisabete Aramendi, Mohamud Daya:
A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest. IEEE Access 8: 161031-161041 (2020) - [j10]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks. Entropy 22(6): 595 (2020) - [j9]Andoni Elola, Elisabete Aramendi, Enrique Rueda, Unai Irusta, Henry Wang, Ahamed H. Idris:
Towards the Prediction of Rearrest during Out-of-Hospital Cardiac Arrest. Entropy 22(7): 758 (2020) - [j8]Xabier Jaureguibeitia, Unai Irusta, Elisabete Aramendi, Pamela Owens, Henry E. Wang, Ahamed H. Idris:
Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation. IEEE J. Biomed. Health Informatics 24(9): 2580-2588 (2020) - [c26]Trygve Eftestøl, Svein E. Stokka, Jan Terje Kvaløy, Ali Bahrami Rad, Unai Irusta, Elisabete Aramendi, Erik Alonso, Trond Nordseth, Eirik Skogvoll, Lars Wik, Jo Kramer-Johansen:
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest. CinC 2020: 1-4 - [c25]Iraia Isasi, Erik Alonso, Unai Irusta, Elisabete Aramendi, Mohamud Daya:
Stationary Wavelet Transform for the Extraction of the Impedance Circulation Component During Out-of-hospital Cardiac Arrest. CinC 2020: 1-4 - [c24]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Jan-Åge Olsen, Lars Wik:
Detection of Shockable Rhythms Using Convolutional Neural Networks During Chest Compressions Provided by a Load Distributing Band. CinC 2020: 1-4 - [c23]Xabier Jaureguibeitia, Unai Irusta, Elisabete Aramendi, Henry E. Wang, Ahamed H. Idris:
An Impedance-based Algorithm to Detect Ventilations During Cardiopulmonary Resuscitation. CinC 2020: 1-4 - [c22]Haizea Lasa, Unai Irusta, Trygve Eftestøl, Elisabete Aramendi, Ali Bahrami Rad, Jo Kramer-Johansen, Lars Wik:
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation. CinC 2020: 1-4 - [c21]Enrique Rueda, Elisabete Aramendi, Unai Irusta, Ahamed H. Idris:
A Method to Detect Pauses for Ventilation During Cardiopulmonary Resuscitation Using the Thoracic Impedance. CinC 2020: 1-4
2010 – 2019
- 2019
- [j7]Iraia Isasi, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi, Morteza Zabihi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. IEEE Access 7: 115147-115159 (2019) - [j6]Andoni Elola, Elisabete Aramendi, Unai Irusta, Artzai Picón, Erik Alonso, Pamela Owens, Ahamed H. Idris:
Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest. Entropy 21(3): 305 (2019) - [j5]Andoni Elola, Elisabete Aramendi, Unai Irusta, Javier Del Ser, Erik Alonso, Mohamud Daya:
ECG-based pulse detection during cardiac arrest using random forest classifier. Medical Biol. Eng. Comput. 57(2): 453-462 (2019) - [j4]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl:
A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions. IEEE Trans. Biomed. Eng. 66(1): 263-272 (2019) - [j3]Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl:
A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. IEEE Trans. Biomed. Eng. 66(6): 1752-1760 (2019) - [c20]Xabier Jaureguibeitia, Unai Irusta, Elisabete Aramendi, Erik Alonso, Pamela Owens, Henry E. Wang, Ahamed H. Idris:
Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation. EMBC 2019: 19-23 - [c19]Eric Manibardo, Unai Irusta, Javier Del Ser, Elisabete Aramendi, Iraia Isasi, Mikel Olabarria, Carlos Corcuera, Jose F. Veintemillas, Andima Larrea:
ECG-based Random Forest Classifier for Cardiac Arrest Rhythms. EMBC 2019: 1504-1508 - [c18]Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR. EMBC 2019: 1903-1907 - [c17]Andoni Elola, Elisabete Aramendi, Unai Irusta, Artzai Picón, Erik Alonso, Iraia Isasi, Ahamed H. Idris:
Convolutional Recurrent Neural Networks to Characterize the Circulation Component in the Thoracic Impedance during Out-of-Hospital Cardiac Arrest. EMBC 2019: 1921-1925 - 2018
- [j2]Beatriz Chicote, Unai Irusta, Elisabete Aramendi, Raúl Alcaraz, José Joaquín Rieta, Iraia Isasi, Daniel Alonso, María del Mar Baqueriza, Karlos Ibarguren:
Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest. Entropy 20(8): 591 (2018) - [c16]Borja Altamira, Erik Alonso, Unai Irusta, Elisabete Aramendi, Mohamud Daya:
A Hidden Markov Model Approach for Ventricular Fibrillation Detection. CinC 2018: 1-4 - [c15]Andoni Elola, Elisabete Aramendi, Unai Irusta, Artzai Picón, Erik Alonso, Pamela Owens, Ahamed H. Idris:
Deep Learning for Pulse Detection in Out-of-Hospital Cardiac Arrest Using the ECG. CinC 2018: 1-4 - [c14]Andoni Elola, Jon Urteaga, Elisabete Aramendi, Unai Irusta, Erik Alonso, Mohamud Daya, Pamela Owens, Ahamed H. Idris:
Finger Photoplethysmography to Monitor Chest Compression Rate During Out-of-Hospital Cardiac Arrest. CinC 2018: 1-4 - [c13]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl:
An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions. CinC 2018: 1-4 - [c12]Iraia Isasi, Ali Bahrami Rad, Unai Irusta, Morteza Zabihi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. CinC 2018: 1-4 - 2017
- [c11]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl:
Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG. CinC 2017 - 2016
- [j1]Beatriz Chicote, Unai Irusta, Raúl Alcaraz, José Joaquín Rieta, Elisabete Aramendi, Iraia Isasi, Daniel Alonso Moreno, Karlos Ibarguren:
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest. Entropy 18(9): 313 (2016) - [c10]Beatriz Chicote Gutiérrez, Unai Irusta Zarandona, Elisabete Aramendi Ecenarro, Iraia Isasi Liñero, Daniel Alonso Moreno, Fernando Vicente Casanova, Maria de las Cruces Sanchez Fernandez:
Nonlinear Energy Operators for Defibrillation Shock Outcome Prediction. CinC 2016 - [c9]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Goiuri Peralta, Erik Alonso:
Cerebral Oximetry Versus Pulse Photoplethysmography to Monitor Respiration Rate. CinC 2016 - [c8]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Goiuri Peralta, Erik Alonso:
Monitoring the Heart Rate in Cerebral Oximetry Signals. CinC 2016 - 2015
- [c7]Beatriz Chicote, Unai Irusta, Elisabete Aramendi, Daniel Alonso, Carlos Jover, Carlos Corcuera:
Sample Entropy as a Shock Outcome Predictor during Basic Life Support. CinC 2015: 557-560 - [c6]Andoni Elola, Beatriz Chicote, Elisabete Aramendi, Erik Alonso, Unai Irusta, Mohamud Daya, James K. Russell:
A Method to Measure Ventilation Rate during Cardiopulmonary Resucitation using the Capnogram. CinC 2015: 1001-1004 - 2014
- [c5]Erik Alonso, Elisabete Aramendi, Digna M. González-Otero, Unai Ayala, Mohamud Daya, James K. Russell:
Empirical Mode Decomposition for Chest Compression and Ventilation Detection in Cardiac Arrest. CinC 2014: 17-20 - [c4]Digna M. González-Otero, Erik Alonso, Jesús Ruiz, Sofía Ruiz de Gauna, Elisabete Aramendi, Unai Ayala, James K. Russell, Mohamud Daya:
Comparison of Time and Frequency Domain Methods for the Feedback on Chest Compression Rate. CinC 2014: 1101-1104 - 2013
- [c3]Erik Alonso, Digna M. González-Otero, Elisabete Aramendi, Sofía Ruiz de Gauna, Jesús Ruiz, Unai Ayala, James K. Russell:
Study on the Linear Relation Between Chest Compression Depth and the Fluctuation Caused in the Thoracic Impedance Acquired by Defibrillation Pads. CinC 2013: 803-806 - [c2]Digna M. González-Otero, Erik Alonso, Jesús Ruiz, Elisabete Aramendi, Sofía Ruiz de Gauna, Unai Ayala, Jo Kramer-Johansen, Trygve Eftestøl:
A Simple Impedance-Based Method for Ventilation Detection During Cardiopulmonary Resuscitation. CinC 2013: 807-810
2000 – 2009
- 2003
- [c1]Luis A. Leturiondo, Andoni Lazkano, Jesús Ruiz, Elisabete Aramendi:
Assessment of Flicker Compensation based on a Single Phase Series Active Filter and a Simple Control Scheme. Modelling, Identification and Control 2003: 225-230
Coauthor Index
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