| Application of entropy-based features to predict defibrillation outcome in cardiac arrest B Chicote, U Irusta, R Alcaraz, JJ Rieta, E Aramendi, I Isasi, D Alonso, ... Entropy 18 (9), 313, 2016 | 50 | 2016 |
| Rhythm analysis during cardiopulmonary resuscitation using convolutional neural networks I Isasi, U Irusta, E Aramendi, T Eftestøl, J Kramer-Johansen, L Wik Entropy 22 (6), 595, 2020 | 47 | 2020 |
| A machine learning shock decision algorithm for use during piston-driven chest compressions I Isasi, U Irusta, A Elola, E Aramendi, U Ayala, E Alonso, ... IEEE transactions on biomedical engineering 66 (6), 1752-1760, 2018 | 35 | 2018 |
| Automatic cardiac rhythm classification with concurrent manual chest compressions I Isasi, U Irusta, AB Rad, E Aramendi, M Zabihi, T Eftestøl, ... IEEE Access 7, 115147-115159, 2019 | 30 | 2019 |
| A multistage algorithm for ECG rhythm analysis during piston-driven mechanical chest compressions I Isasi, U Irusta, E Aramendi, U Ayala, E Alonso, J Kramer-Johansen, ... IEEE Transactions on Biomedical Engineering 66 (1), 263-272, 2018 | 27 | 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, ... Entropy 20 (8), 591, 2018 | 26 | 2018 |
| ECG-based random forest classifier for cardiac arrest rhythms E Manibardo, U Irusta, J Del Ser, E Aramendi, I Isasi, M Olabarria, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 14 | 2019 |
| A robust machine learning architecture for a reliable ECG rhythm analysis during CPR I Isasi, U Irusta, A Elola, E Aramendi, T Eftestøl, J Kramer-Johansen, L Wik 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 12 | 2019 |
| Nonlinear energy operators for defibrillation shock outcome prediction B Chicote, U Irusta, E Aramendi, I Isasi, D Alonso, F Vicente, M Sanchez 2016 Computing in Cardiology Conference (CinC), 61-64, 2016 | 11 | 2016 |
| Restoration of the electrocardiogram during mechanical cardiopulmonary resuscitation I Isasi, U Irusta, E Aramendi, AH Idris, L Sörnmo Physiological Measurement 41 (10), 105006, 2020 | 10 | 2020 |
| ECG rhythm analysis during manual chest compressions using an artefact removal filter and random forest classifiers I Isasi, AB Rad, U Irusta, M Zabihi, E Aramendi, T Eftestøl, ... 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 9 | 2018 |
| Detection of shockable rhythms using convolutional neural networks during chest compressions provided by a load distributing band I Isasi, U Irusta, E Aramendi, JÅ Olsen, L Wik 2020 Computing in Cardiology, 1-4, 2020 | 7 | 2020 |
| Removing piston-driven mechanical chest compression artefacts from the ECG I Isasi, U Irusta, E Aramendi, U Ayala, E Alonso, J Kramer-Johansen, ... 2017 Computing in Cardiology (CinC), 1-4, 2017 | 7 | 2017 |
| Shock decision algorithm for use during load distributing band cardiopulmonary resuscitation I Isasi, U Irusta, E Aramendi, JA Olsen, L Wik Resuscitation 165, 93-100, 2021 | 5 | 2021 |
| Characterization of the ECG compression artefact caused by the AutoPulse device I Isasi, U Irusta, E Aramendi, J Age, L Wik Resuscitation 118, e38, 2017 | 5 | 2017 |
| Amplitude spectral area of ventricular fibrillation and defibrillation success at low energy in out-of-hospital cardiac arrest FR Gentile, L Wik, I Isasi, E Baldi, E Aramendi, JE Steen-Hansen, ... Internal and Emergency Medicine 18 (8), 2397-2405, 2023 | 4 | 2023 |
| Convolutional recurrent neural networks to characterize the circulation component in the thoracic impedance during out-of-hospital cardiac arrest A Elola, E Aramendi, U Irusta, A Picón, E Alonso, I Isasi, A Idris 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 4 | 2019 |
| Monitoring the heart rate in cerebral oximetry signals I Isasi, U Irusta, E Aramendi, G Peralta, E Alonso 2016 Computing in Cardiology Conference (CinC), 1121-1124, 2016 | 4 | 2016 |
| Cerebral oximetry versus pulse photoplethysmography to monitor respiration rate I Isasi, U Irusta, E Aramendi, G Peralta, E Alonso 2016 Computing in Cardiology Conference (CinC), 853-856, 2016 | 4 | 2016 |
| A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation I Isasi, E Alonso, U Irusta, E Aramendi, M Zabihi, AB Rad, T Eftestøl, ... 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 3 | 2021 |
