Jo Kramer-Johansen

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 14

Top Topics

Machine Learning

Compression Artifacts

Convolutional Neural Networks

Top Venues

IEEE Trans. Biomed. Eng.

Publications

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)
Alvaro Iza, Andoni Elola, Iraia Isasi, Elisabete Aramendi, Trygve Eftestl, Jo Kramer-Johansen, Lars Wik
Adaptive Filtering Methods for ECG Waveform Restoration during Cardiopulmonary Resuscitation. CinC (2022)
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)
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)
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)
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) (2020)
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 (2019)
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)
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) (2019)
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) (2019)
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)
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)
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)
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) (2017)
Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation. ICASSP (2014)
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)
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)
Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan
Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation. CinC (2013)
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)
Unai Irusta, Jesús Ruiz, Sofía Ruiz de Gauna, Trygve Eftestøl, Jo Kramer-Johansen
A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions. IEEE Trans. Biomed. Eng. 56 (4) (2009)
Martin Risdal, Sven Ole Aase, Jo Kramer-Johansen, Trygve Eftestøl
Automatic Identification of Return of Spontaneous Circulation During Cardiopulmonary Resuscitation. IEEE Trans. Biomed. Eng. 55 (1) (2008)