Publications by year

This is a list of our publications in indexed journals in the field of biomedical signal processing applied to the treatment of out-of-hospital cardiac arrest. For a comprehensive list of publications of the members of the group check our public profiles at google scholar.

 

2021

 

End-tidal carbon dioxide (ETCO2) and ventricular fibrillation amplitude spectral area (AMSA) for shock outcome prediction in out-of-hospital cardiac arrest. Are they two sides of the same coin? L Frigerio, E Baldi, E Aramendi, B Chicote, U Irusta, E Contri, A Palo, S Compagnoni, R Fracchia, G Iotti, L O Visconti, S Savastano. Resuscitation 2021, 160, 142-149.

Airway Strategy and Chest Compression Quality in the Pragmatic Airway Resuscitation Trial. Henry Wang, Xabier Jaureguibeitia, Elisabete Aramendi, Jeff Jarvis, Jestin Carlson, Unai Irusta, Erik Alonso, Tom Aufderheide, Robert Schmicker, Matthew Hansen, Ryan Huebinger, M. Riccardo Colella, Richard Gordon, Robert Suchting, Ahamed Idris. Resuscitation (available on line).

Autofluorescence image reconstruction and virtual staining for in-vivo optical biopsying. Artzai Picon, Alfonso Medela, Luisa F. Sánchez-Peralta, Riccardo Cicchi, Roberto Bilbao, Domenico Alfieri, Andoni Elola, Ben Glover, Cristina Saratxaga, IEEE Access (available on line)

 

2020

Automatic detection of ventilations during mechanical cardiopulmonary resuscitation. X Jaureguibeitia, U Irusta, E Aramendi, P Owens, H Wang, A Idris. IEEE Journal of Biomedical and Health Informatics, 24 (9), 2580-2588.

Factors affecting the course of resuscitation from cardiac arrest with pulseless electrical activity in children and adolescents. E Skogvoll, T Nordseth, R M Sutton, T Eftestøl, U Irusta, E Aramendi, D Niles, V Nadkarni, R A Berg, B S Abella, J Terje Kvaløy. Resuscitation 152, 116-122.

Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks. I Isasi, U Irusta, E Aramendi, T Eftestøl, JKJ Kramer-Johansen, L Wik. Entropy 22 (6), 595.

Restoration of the electrocardiogram during mechanical cardiopulmonary resuscitation. I Isasi, U Irusta, E Aramendi, AH Idris, L Sörnmo. Physiological measurement 41 (10) 105006.

Towards the Prediction of Rearrest during Out-of-Hospital Cardiac Arrest. A Elola, E Aramendi, E Rueda, U Irusta, H Wang, A Idris. Entropy 22 (7), 758.

Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks. X Jaureguibeitia, G Zubia, U Irusta, E Aramendi, B Chicote, Daniel Alonso, Andima Larrea, Carlos Corcuera, IEEE Access 8, 154746-154758.

A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest. E Alonso, U Irusta, E Aramendi, MR Daya, IEEE Access 8, 161031-161041.

Multimodal algorithm for the classification of circulation states during out-of-hospital cardiac arrest. A Elola, E Aramendi, U Irusta, P O Berve, Lars Wik. IEEE Transactions on Biomedical Engineering (early access on line).

Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020. Erick A Perez Alday, Annie Gu, Amit J Shah, Chad Robichaux, An-Kwok Ian Wong, Chengyu Liu, Feifei Liu, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Qiao Li, Ashish Sharma, Gari D Clifford, Matthew A Reyna. Physiological Measurement 41(12) 124003.

Few-Shot Learning approach for plant disease classification using images taken in the field. Argüeso, D., Picon, A., Irusta, U., Medela, A., San-Emeterio, M.G., Bereciartua, A., Alvarez-Gila, A. Computers and Electronics in Agriculture, 2020, 175, 105542.

 

2019

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. I Isasi, U Irusta, AB Rad, E Aramendi, M Zabihi, T Eftestøl, J Kramer-Johansen, L Wik. IEEE Access 2019, 7, 115147-115159.

Association of ventilation with outcomes from out-of-hospital cardiac arrest. Mary P. Chang, Yuanzheng Lu, Brian Leroux, E Aramendi, Pamela Owens, Henry E. Wang, Ahamed H. Idris. Resuscitation 2019, 141, 174–181.

Capnography: A support tool for the detection of return of spontaneous circulation in out-of-hospital cardiac arrest. A Elola, E Aramendi, U Irusta, E Alonso, Y Lu, M P Chang, P Owens, A H Idris. Resuscitation 2019, 142, 153-161.

Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia. A Picon, U Irusta, A Álvarez-Gila, E Aramendi, F Alonso-Atienza, C Figuera, U Ayala, E Garrote, L Wik, J Kramer-Johansen, T Eftestøl. Plos One May 2019.

Transthoracic Impedance measured with defibrillator pads- New interpretations of signal change induced by ventilations. PO Berve, U Irusta, J Kramer-Johansen, T Skålhegg, HW Kongsgård, C Brunborg, E Aramendi, L Wik. J. Clin. Med 2019, 8(5), 724.

Value of capnography to predict defibrillation success in out-of-hospital cardiac arrest. B Chicote, E Aramendi, U Irusta, P Owens, M Daya, A Idris. Resuscitation 2019, 138, 74-81.

Deep neural networks for ECG-based pulse detection during out-of-hospital cardiac arrest. A Elola, E Aramendi, U Irusta, A Picón, E Alonso, P Owens, A Idris. Entropy 2019, 21(3) 305-324.

A Multistage Algorithm for ECG Rhythm Analysis during Piston Driven Mechanical Chest CompressionsI IsasiU IrustaE Aramendi, U Ayala, E Alonso, J Kramer-Johansen, T Eftestøl. IEEE Trans Biomed Eng 2019, 66 (1) 263-272.

A Machine Learning Shock Decision Algorithm for use during Piston-driven Chest CompressionsI Isasi, U Irusta, A Elola, E Aramendi, U Ayala, E Alonso, J Kramer-Johansen, T Eftestøl. IEEE Trans Biomed Eng 2019,  66(6) 1752-1760.

ECG-based pulse detection during cardiac arrest using random forest classifierA ElolaE AramendiU Irusta, J Del Ser, E Alonso, M Daya. Med Biol Eng Comput 2019, 57 (2) 453–462.

Rhythm characteristics and patterns of change during cardiopulmonary resuscitation for in-hospital paediatric cardiac arrest. T Nordseth, DE Niles, T Eftestøl, RM Sutton, U Irusta, BS Abella, RA Berg, VM Nadkarni, E Skogvoll. Resuscitation 2019, 135, pp. 45-50. 

 

2018

Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest. B Chicote, U Irusta, E Aramendi, R Alcaraz, JJ Rieta, I Isasi, D Alonso, MM Baqueriza, K Ibarguren. Entropy 2018, 20(8), 591.

A novel technique to assess the quality of ventilation during pre-hospital cardiopulmonary resuscitation. E Aramendi, Y Lu, MP Chang, A ElolaU Irusta, P Owens, H Idris. Resuscitation 2018; 132, 41-46.

Evaluation of chest compression artefact removal based on rhythm assessments made by clinicians. E Alonso, E Aramendi, U Irusta, M Daya, C Corcuera, Y Lu, AH Idris. Resuscitation 2018; 125, 104-110.

An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes. AB Rad, T Eftestøl, U Irusta, JT Kvaløy, L Wik, J Kramer-Johansen, AK Katsaggelos, K Engan. Resuscitation 2018; 122, 6-12.

 

2017 

ECG-based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. AB Rad, T Eftestol, K Engan, U Irusta, JT Kvaloy, J Kramer-Johansen, L Wik, AK Katsaggelos. IEEE Trans Biomed Eng 2017; 64 (10), 2411-2418.

Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation. E Aramendi, A Elola, E Alonso, U Irusta, M Daya, JK Rusell, P Hubner, F Stertz. Resuscitation 2017; 110, 162-168.

 

2016

Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest. B Chicote, U Irusta, R Alcaraz, JJ Rieta, E Aramendi, I Isasi, I, D Alonso, K Ibarguren. Entropy 2016; 18, 313.

Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators. C Figuera, U Irusta, E Morgado, E Aramendi, U Ayala, L Wik, J Kramer-Johansen, T Eftestol, F Alonso-Atienza. PloS one 2016; 11 (7), e0159654

Automatic cardiac rhythm interpretation during resuscitation. AB Rad, K Engan, AK Katsaggelos, JT Kvaløy, L Wik, J Kramer-Johansen, U Irusta, T Eftestøl. Resuscitation 2016; 102, 44-50.

Circulation detection using the electrocardiogram and the thoracic impedance acquired by defibrillation padsE Alonso, E Aramendi, M Daya, U Irusta, B Chicote, JK Russell, LG Tereshchenko. Resuscitation 2016; 99, 56-62.

Filtering mechanical chest compression artefacts from out-of-hospital cardiac arrest dataE Aramendi, U Irusta, U Ayala, H Naas, J Kramer-Johansen, T Eftestøl. Resuscitation 2016; 98, 41-47.

To interrupt, or not to interrupt chest compressions for ventilation: that is the question! E Aramendi, U Irusta. Journal of Thoracic Disease 2016; 8(1): E121–E123.

 

2015

Fully automatic rhythm analysis during chest compression pauses. U Ayala, U Irusta, J Ruiz, SR de Gauna, D González-Otero, E Alonso, J Kramer-Johansen, H Naas, T Eftestøl. Resuscitation 2015; 89, 25-30.

Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metricsE Alonso, J Ruiz, E Aramendi, D González-Otero, SR de Gauna, U Ayala, JK Russell, M Daya. Resuscitation 2015; 88, 28-34.

Chest compression rate feedback based on transthoracic impedance. González-Otero DM, de Gauna SR, Ruiz J, Daya MR, Wik L, Russell JK, J Kramer-Johansen, T Eftestøl, E Alonso, Ayala U. Resuscitation 2015; 93, 82-88.

 

2014

A new method for feedback on the quality of chest compressions during cardiopulmonary resuscitation.
DM González-Otero, J Ruiz, S Ruiz de Gauna, U Irusta, U Ayala, E Alonso. BioMed research international 2014.

Beyond ventricular fibrillation analysis: Comprehensive waveform analysis for all cardiac rhythms occurring during resuscitation. E Alonso, T Eftestøl, E Aramendi, J Kramer-Johansen, E Skogvoll, T Nordseth. Resuscitation 2014; 85 (11), 1541-1548.

Automatic detection of chest compressions for the assessment of CPR-quality parameters. U Ayala, T Eftestøl, E Alonso, U Irusta, E Aramendi, S Wali, J Kramer-Johansen. Resuscitation 2014; 85 (7), 957-963.

Can thoracic impedance monitor the depth of chest compressions during out-of-hospital cardiopulmonary resuscitation? E Alonso, D González-Otero, E Aramendi, SR de Gauna, J Ruiz, U Ayala, JK Russell, M Daya. Resuscitation 2014; 85 (5), 637-643.

Rhythm analysis during cardiopulmonary resuscitation: past, present, and future. S Ruiz de Gauna, U Irusta, J Ruiz, U Ayala, E Aramendi, T Eftestøl. BioMed research international 2014.

A reliable method for rhythm analysis during cardiopulmonary resuscitation. U Ayala, U Irusta, J Ruiz, T Eftestøl, J Kramer-Johansen, F Alonso-Atienza, E Alonso, D González-Otero. BioMed research international 2014.

 

2013

Reliable extraction of the circulation component in the thoracic impedance measured by defibrillation pads. J Ruiz, E Alonso, E Aramendi, J Kramer-Johansen, T Eftestøl, U Ayala, D González-Otero. Resuscitation 2013;  84 (10), 1345-1352.

Direct evaluation of the effect of filtering the chest compression artifacts on the uninterrupted cardiopulmonary resuscitation time. J Ruiz, U Ayala, SR de Gauna, U Irusta, D González-Otero, E AramendiE Alonso, T Eftestøl. The American journal of emergency medicine 2013; 31 (6), 910-915.

Feasibility of automated rhythm assessment in chest compression pauses during cardiopulmonary resuscitation. J Ruiz, U Ayala, SR de Gauna, U Irusta, D González-Otero, E Alonso, J Kramer-Johansen, T Eftestøl. Resuscitation 84 (9), 1223-1228.

 

2012

A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and childrenU Irusta, J Ruiz, E Aramendi, SR de Gauna, U Ayala, E Alonso. Resuscitation 2013; 83 (9), 1090-1097.

Suppression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedanceE Aramendi, U Ayala, U Irusta, E Alonso, T Eftestøl, J Kramer-Johansen. Resuscitation 83 (6), 692-698.

 

2010

Cardiopulmonary resuscitation artefact suppression using a Kalman filter and the frequency of chest compressions as the reference signal. J Ruiz, U Irusta, SR de Gauna, T Eftestøl. Resuscitation 2010; 81 (9), 1087-1094.

ECG spectral and morphological parameters reviewed and updated to detect adult and paediatric life-threatening arrhythmiaE Aramendi, U Irusta, E Pastor, A Bodegas, F Benito. Physiological measurement 201; 31 (6), 749.

 

2009

An algorithm to discriminate supraventricular from ventricular tachycardia in automated external defibrillators valid for adult and paediatric patients.
U Irusta, J Ruiz. Resuscitation 2009; 80 (11), 1229-1233.

A least mean-square filter for the estimation of the cardiopulmonary resuscitation artifact based on the frequency of the compressionsU Irusta, J Ruiz, S De Gauna, T Eftestol, J Kramer-Johansen. IEEE Trans Biomed Eng 2009; 56 (4), 1052-1062.

 

2008

A method to remove CPR artefacts from human ECG using only the recorded ECG. SR de Gauna, J Ruiz, U Irusta, E Aramendi, T Eftestøl, J Kramer-Johansen. Resuscitation 2008; 76 (2), 271-278.

 

2007

Detection of ventricular fibrillation in the presence of cardiopulmonary resuscitation artefactsE Aramendi, SR de Gauna, U Irusta, J Ruiz, MF Arcocha, JM Ormaetxe. Resuscitation 2007; 72 (1), 115-123.