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Most recent publications

J. J. Uv and H. Arevalo

Electrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model

In Computing in Cardiology. Vol. 49. Computing in Cardiology: Computing in Cardiology, 2023.
Proceedings, refereed
2023
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H. Finsberg, I. G. M. van Herck, C. Daversin-Catty, H. Arevalo and S. Wall

simcardems: A FEniCS-based cardiac electro-mechanicssolver

Journal of Open Source Software 88442954520810717, no. 81411347316 (2023): 4753.
Journal Article
2023
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M. Maleckar, L. Myklebust, J. J. Uv, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrøm, K. Ahtarovski et al.

Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients

Frontiers in physiology 12 (2021): 745349.
Journal Article
2021
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M. Vagos, H. Arevalo, J. Heijman, U. Schotten and J. Sundnes

A computational study of the effects of tachycardia-induced remodelling on calcium wave propagation in rabbit atrial myocytes

Frontiers in Physiology 12 (2021).
Journal Article
2021
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Selected publications

H. Arevalo, F. Vadakkumpadan, E. Guallar, A. Jebb, P. Malamas, K. C. Wu and N. A. Trayanova

Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models

Nature Communications 7 (2016).
Journal Article
2016
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A. Prakosa, H. Arevalo, D. Deng, P. M. Boyle, P. P. Nikolov, H. Ashikaga, J. J. E. Blauer, E. Ghafoori, C. J. Park, R. C. Blake et al.

Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia

Nature Biomedical Engineering 2 (2018): 732-740.
Journal Article
2018
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News

05 September 2023

Simula hosts Inria guests to discuss current & future collaboration

Background

PhD in Biomedical Engineering
Johns Hopkins University
May 2014

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2023

Journal articles

H. Finsberg, I. G. M. van Herck, C. Daversin-Catty, H. Arevalo and S. Wall

simcardems: A FEniCS-based cardiac electro-mechanicssolver

Journal of Open Source Software 88442954520810717, no. 81411347316 (2023): 4753.
Status: Published

Proceedings, refereed

J. J. Uv and H. Arevalo

Electrophysiological Simulation of Maternal-Fetal ECG on a 3D Maternal Torso Model

In Computing in Cardiology. Vol. 49. Computing in Cardiology: Computing in Cardiology, 2023.
Status: Published
2021

Journal articles

M. Albatat, H. Arevalo, J. Bergsland, V. Strøm, I. Balasingham and H. H. Odland

Optimal pacing sites in cardiac resynchronization by left ventricular activation front analysis

Computers in Biology and Medicine 128 (2021): 104159.
Status: Published
M. Maleckar, L. Myklebust, J. J. Uv, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrøm, K. Ahtarovski et al.

Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients

Frontiers in physiology 12 (2021): 745349.
Status: Published
M. Vagos, H. Arevalo, J. Heijman, U. Schotten and J. Sundnes

A computational study of the effects of tachycardia-induced remodelling on calcium wave propagation in rabbit atrial myocytes

Frontiers in Physiology 12 (2021).
Status: Published

Posters

M. Maleckar, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrom, K. A. Ahtarovski, T. Jespersen, J. Tfelt-Hansen et al.

B-PO02-022 Combining simulation and machine learning to accurately predict arrhythmic risk in post-infarction patients

In Heart Rhythm. Vol. 18. Boston, MA: Elsevier, 2021.
Status: Published
2019

Proceedings, refereed

H. Arevalo, K. H. Jæger and S. Wall

Investigating the Pro- and Anti-Arrhythmic Properties of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes in Post-Infarction Patient Hearts: A Modeling Study

In 6th International Conference on Computational and Mathematical Biomedical Engineering. Vol. 1. Zeta Computational Resources Ltd, 2019.
Status: Published
J. Langguth, H. Arevalo and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

In Computing in Cardiology. Vol. 46. IEEE, 2019.
Status: Published

Posters

J. Langguth, H. Arevalo, K. G. Hustad and X. Cai

Towards Detailed Real-Time Simulations of Cardiac Arrhythmia

International Conference in Computing in Cardiology, Singapore, 2019.
Status: Published

Talks, contributed

P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrom, K. A. Ahtarovski, T. Jespersen, J. Tfelt-Hansen, V. Naumova et al.

A Combined In-Silico and Machine Learning Approach towards Predicting Arrhythmic Risk in Post-Infarction Patients

In Computing in Cardiology, Singapore, 2019.
Status: Published