Jo Kramer-Johansen

According to our database, Jo Kramer-Johansen authored at least 21 papers between 2008 and 2023.

Collaborative distances:

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

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

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

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

A Machine Learning Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.

Iraia Isasi, Unai Irusta, Andoni Elola, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl

IEEE Trans. Biomed. Eng., 2019

A Multistage Algorithm for ECG Rhythm Analysis During Piston-Driven Mechanical Chest Compressions.

Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl

IEEE Trans. Biomed. Eng., 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

An Accurate Shock/No-Shock Decision Algorithm for Use During Piston-Driven Chest Compressions.

Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl

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

Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG.

Iraia Isasi, Unai Irusta, Elisabete Aramendi, Unai Ayala, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl

Proceedings of the Computing in Cardiology, 2017

2014

Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation.

Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan

Proceedings of the IEEE International Conference on Acoustics, 2014

Filtering Chest Compression Artifacts Improves the Performance of VF-detection Parameters.

Unai Ayala, Unai Irusta, Jesús Ruiz, Felipe Alonso Atienza, Erik Alonso, Digna M. González-Otero, Jo Kramer-Johansen, Henning Naas, Trygve Eftestøl

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013

Probabilistic Classification Approaches for Cardiac Arrest Rhythm Interpretation during Resuscitation.

Ali Bahrami Rad, Trygve Eftestøl, Jan Terje Kvaløy, Unai Ayala, Jo Kramer-Johansen, Kjersti Engan

Proceedings of the Computing in Cardiology, 2013

A Simple Impedance-Based Method for Ventilation Detection During Cardiopulmonary Resuscitation.

Digna M. González-Otero, Erik Alonso, Jesús Ruiz, Elisabete Aramendi, Sofía Ruiz de Gauna, Unai Ayala, Jo Kramer-Johansen, Trygve Eftestøl

Proceedings of the Computing in Cardiology, 2013

A New Algorithm to Diagnose during Chest Compressions: Effects on Cardiopulmonary Resuscitation Delivery.

Unai Ayala, Unai Irusta, Jesús Ruiz, Digna M. González-Otero, Erik Alonso, Jo Kramer-Johansen, Trygve Eftestøl

Proceedings of the Computing in Cardiology, 2013

2009

A Least Mean-Square Filter for the Estimation of the Cardiopulmonary Resuscitation Artifact Based on the Frequency of the Compressions.

Unai Irusta, Jesús Ruiz, Sofía Ruiz de Gauna, Trygve Eftestøl, Jo Kramer-Johansen

IEEE Trans. Biomed. Eng., 2009

2008

Automatic Identification of Return of Spontaneous Circulation During Cardiopulmonary Resuscitation.

Martin Risdal, Sven Ole Aase, Jo Kramer-Johansen, Trygve Eftestøl

IEEE Trans. Biomed. Eng., 2008