Theo dõi
Unai Irusta
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
2962020
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
1162009
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
1022017
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
912016
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
882008
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
852014
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
842019
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
772019
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
702012
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
702012
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
622007
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
552014
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
542014
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
492020
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
452016
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
452010
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
442016
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
412019
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
412019
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
352017
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