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2020 – today
- 2021
[c19]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- 2020
- [j5]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) - [c18]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 - [c17]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
2010 – 2019
- 2019
- [j4]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) - [j3]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) - [j2]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) - [j1]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) - [c16]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 - [c15]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
- [c14]Borja Altamira, Erik Alonso, Unai Irusta, Elisabete Aramendi, Mohamud Daya:
A Hidden Markov Model Approach for Ventricular Fibrillation Detection. CinC 2018: 1-4 - [c13]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 - [c12]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 - [c11]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 - 2017
- [c10]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
- [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]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
- [c6]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 - [c5]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 - [c4]Unai Ayala, Unai Irusta, Jesús Ruiz, Felipe Alonso Atienza, Erik Alonso, Digna M. González-Otero, Jo Kramer-Johansen, Henning Naas, Trygve Eftestøl:
Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters. CinC 2014: 1109-1112 - 2013
- [c3]Unai Ayala, Unai Irusta, Jesús Ruiz, Digna M. González-Otero, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl:
A New Algorithm to Diagnose during Chest Compressions: Effects on Cardiopulmonary Resuscitation Delivery. CinC 2013: 129-132 - [c2]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 - [c1]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
Coauthor Index
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