Few-Shot Learning approach for plant disease classification using images taken in the field D Argüeso, A Picon, U Irusta, A Medela, MG San-Emeterio, A Bereciartua, ... Computers and Electronics in Agriculture 175, 105542, 2020 | 253 | 2020 |
A least mean-square filter for the estimation of the cardiopulmonary resuscitation artifact based on the frequency of the compressions U Irusta, JÚ Ruiz, SÍR de Gauna, T EftestØl, J Kramer-Johansen IEEE Transactions on Biomedical Engineering 56 (4), 1052-1062, 2009 | 121 | 2009 |
ECG-based classification of resuscitation cardiac rhythms for retrospective data analysis AB Rad, T Eftestøl, K Engan, U Irusta, JT Kvaløy, J Kramer-Johansen, ... IEEE Transactions on Biomedical Engineering 64 (10), 2411-2418, 2017 | 104 | 2017 |
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, ... PloS one 11 (7), e0159654, 2016 | 97 | 2016 |
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 (1), 386010, 2014 | 94 | 2014 |
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, ... Resuscitation 76 (2), 271-278, 2008 | 89 | 2008 |
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 21 (3), 305, 2019 | 81 | 2019 |
A high-temporal resolution algorithm to discriminate shockable from nonshockable rhythms in adults and children U Irusta, J Ruiz, E Aramendi, SR De Gauna, U Ayala, E Alonso Resuscitation 83 (9), 1090-1097, 2012 | 80 | 2012 |
Suppression of the cardiopulmonary resuscitation artefacts using the instantaneous chest compression rate extracted from the thoracic impedance E Aramendi, U Ayala, U Irusta, E Alonso, T Eftestøl, J Kramer-Johansen Resuscitation 83 (6), 692-698, 2012 | 75 | 2012 |
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, ... PloS one 14 (5), e0216756, 2019 | 71 | 2019 |
Detection of ventricular fibrillation in the presence of cardiopulmonary resuscitation artefacts E Aramendi, SR de Gauna, U Irusta, J Ruiz, MF Arcocha, JM Ormaetxe Resuscitation 72 (1), 115-123, 2007 | 68 | 2007 |
A reliable method for rhythm analysis during cardiopulmonary resuscitation U Ayala, U Irusta, J Ruiz, T Eftestøl, J Kramer-Johansen, F Alonso-Atienza, ... BioMed research international 2014 (1), 872470, 2014 | 61 | 2014 |
Automatic detection of chest compressions for the assessment of CPR-quality parameters U Ayala, T Eftestøl, E Alonso, U Irusta, E Aramendi, S Wali, ... Resuscitation 85 (7), 957-963, 2014 | 59 | 2014 |
Circulation detection using the electrocardiogram and the thoracic impedance acquired by defibrillation pads E Alonso, E Aramendi, M Daya, U Irusta, B Chicote, JK Russell, ... Resuscitation 99, 56-62, 2016 | 55 | 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, D Alonso, ... Entropy 18 (9), 313, 2016 | 48 | 2016 |
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 81 (9), 1087-1094, 2010 | 48 | 2010 |
ECG-based pulse detection during cardiac arrest using random forest classifier A Elola, E Aramendi, U Irusta, J Del Ser, E Alonso, M Daya Medical & biological engineering & computing 57, 453-462, 2019 | 43 | 2019 |
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, MP Chang, P Owens, ... Resuscitation 142, 153-161, 2019 | 39 | 2019 |
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 | 37 | 2020 |
Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation E Aramendi, A Elola, E Alonso, U Irusta, M Daya, JK Russell, P Hubner, ... Resuscitation 110, 162-168, 2017 | 37 | 2017 |