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2020 – today
- 2024
[j5]Jon Urteaga
, Andoni Elola, Elisabete Aramendi, Per Olav Berve, Lars Wik:
Invasive arterial blood pressure delineator for cardiopulmonary resuscitation patients during pauses of chest compressions. Biomed. Signal Process. Control. 94: 106349 (2024)- 2023
- [c10]Trygve Eftestøl, Mari A Hognestad, Sander A. Søndeland, Ali Bahrami Rad, Elisabete Aramendi, Lars Wik, Jo Kramer-Johansen:
A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients. CinC 2023: 1-4 - [c9]Andoni Elola, Iraia Isasi, Sara Entenza, Elisabete Aramendi, Lars Wik:
Classification of Cardiac Rhythms During Load-Distributing Band Cardiopulmonary Resuscitation. CinC 2023: 1-4 - 2022
- [c8]Alvaro Iza, Andoni Elola, Iraia Isasi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation. CinC 2022: 1-4 - 2021
- [j4]Andoni Elola, Elisabete Aramendi, Unai Irusta, Per Olav Berve, Lars Wik:
Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac Arrest. IEEE Trans. Biomed. Eng. 68(6): 1913-1922 (2021) - [c7]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 - [c6]Jon Urteaga, Andoni Elola, Elisabete Aramendi, Unai Irusta, Per Olav Berve, Lars Wik:
Automated Detection of Pulse Using Continuous Invasive Arterial Blood Pressure in Patients During Cardiopulmonary Resuscitation. CinC 2021: 1-4 - 2020
- [j3]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks. Entropy 22(6): 595 (2020) - [c5]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 - [c4]Iraia Isasi, Unai Irusta, Elisabete Aramendi, Jan-Åge Olsen, Lars Wik:
Detection of Shockable Rhythms Using Convolutional Neural Networks During Chest Compressions Provided by a Load Distributing Band. CinC 2020: 1-4 - [c3]Haizea Lasa, Unai Irusta, Trygve Eftestøl, Elisabete Aramendi, Ali Bahrami Rad, Jo Kramer-Johansen, Lars Wik:
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation. CinC 2020: 1-4
2010 – 2019
- 2019
- [j2]Iraia Isasi, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi, Morteza Zabihi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. IEEE Access 7: 115147-115159 (2019) - [c2]Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR. EMBC 2019: 1903-1907 - 2018
- [c1]Iraia Isasi, Ali Bahrami Rad, Unai Irusta, Morteza Zabihi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik:
ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. CinC 2018: 1-4 - 2017
- [j1]Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, Unai Irusta, Jan Terje Kvaløy, Jo Kramer-Johansen, Lars Wik, Aggelos K. Katsaggelos:
ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis. IEEE Trans. Biomed. Eng. 64(10): 2411-2418 (2017)
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