Lars Wik

According to our database, Lars Wik authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Invasive arterial blood pressure delineator for cardiopulmonary resuscitation patients during pauses of chest compressions.

Jon Urteaga, Andoni Elola, Elisabete Aramendi, Per Olav Berve, Lars Wik

Biomed. Signal Process. Control., 2024

2023

Classification of Cardiac Rhythms During Load-Distributing Band Cardiopulmonary Resuscitation.

Andoni Elola, Iraia Isasi, Sara Entenza, Elisabete Aramendi, Lars Wik

Proceedings of the Computing in Cardiology, 2023

A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms from Resuscitation of Cardiac Arrest Patients.

Trygve Eftestøl, Mari A Hognestad, Sander A. Søndeland, Ali Bahrami Rad, Elisabete Aramendi, Lars Wik, Jo Kramer-Johansen

Proceedings of the Computing in Cardiology, 2023

2022

Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation.

Alvaro Iza, Andoni Elola, Iraia Isasi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik

Proceedings of the Computing in Cardiology, 2022

2021

Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac Arrest.

Andoni Elola, Elisabete Aramendi, Unai Irusta, Per Olav Berve, Lars Wik

IEEE Trans. Biomed. Eng., 2021

Automated Detection of Pulse Using Continuous Invasive Arterial Blood Pressure in Patients During Cardiopulmonary Resuscitation.

Jon Urteaga, Andoni Elola, Elisabete Aramendi, Unai Irusta, Per Olav Berve, Lars Wik

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation.

Iraia Isasi, Erik Alonso, Unai Irusta, Elisabete Aramendi, Morteza Zabihi, Ali Bahrami Rad, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks.

Iraia Isasi, Unai Irusta, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik

Entropy, 2020

Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation.

Haizea Lasa, Unai Irusta, Trygve Eftestøl, Elisabete Aramendi, Ali Bahrami Rad, Jo Kramer-Johansen, Lars Wik

Proceedings of the Computing in Cardiology, 2020

Detection of Shockable Rhythms Using Convolutional Neural Networks During Chest Compressions Provided by a Load Distributing Band.

Iraia Isasi, Unai Irusta, Elisabete Aramendi, Jan-Åge Olsen, Lars Wik

Proceedings of the Computing in Cardiology, 2020

A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest.

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

Proceedings of the Computing in Cardiology, 2020

2019

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions.

Iraia Isasi, Unai Irusta, Ali Bahrami Rad, Elisabete Aramendi, Morteza Zabihi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik

IEEE Access, 2019

A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR.

Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers.

Iraia Isasi, Ali Bahrami Rad, Unai Irusta, Morteza Zabihi, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik

Proceedings of the Computing in Cardiology, 2018

2017

ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis.

Ali Bahrami Rad, Trygve Eftestøl, Kjersti Engan, Unai Irusta, Jan Terje Kvaløy, Jo Kramer-Johansen, Lars Wik, Aggelos K. Katsaggelos

IEEE Trans. Biomed. Eng., 2017