Jesús Carro was born in Oviedo (Asturias, Spain), in 1985. He received the M.Sc. degree in Telecommunication Engineering in 2009 at the University of Oviedo, and the M.Sc. degree in Biomedical Engineering (2010) and the Ph.D. in Biomedical Engineering (2019) at the University of Zaragoza.
His research interests are focused on the mathematical modeling of the electrical activity of the cardiac cells. In particular, he is working in a new electrophysiological model of the human ventricular cells. He has participated in several national research projects.
Since 2011, he is working at the University San Jorge (Zaragoza, Spain). He is currently an Associate Professor, and the Vicedean for the Degree in Bioinformatics.
In 2018, he was elected as a member of the CellML Editorial Boar for three years (2018-2021).
Contact info:
Jesús Carro Fernández
Faculty of Health Sciences
University San Jorge
Autovía A-23 Zaragoza-Huesca Km. 299
50830 Villanueva de Gállego, Zaragoza (Spain)
- Telephhone: +34 671 00 33 85
- E-mail: jcarro@usj.es
- Publons: Jesús Carro
- LinkedIn: JCarro
- Research Gate: Jesus_Carro2
Publications
Journal Articles
DENIS: Solving cardiac electrophysiological simulations with volunteer computing Journal Article
In: PLoS One, vol. 13, no. 10, pp. e0205568, 2018, ISSN: 1932-6203.
In: PLoS One, vol. 13, no. 10, pp. e0204411, 2018, ISSN: 1932-6203.
Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols Journal Article
In: Progress in Biophysics and Molecular Biology, vol. 129, pp. 53-64, 2017, ISSN: 0079-6107.
A Methodology to Improve Human Ventricular Models for the Investigation of Cardiac Arrhythmias Journal Article
In: Biophysical Journal, vol. 112, no. 3, Supplement 1, pp. 403a, Published in abstract form, 2017, ISSN: 0006-3495.
Impact of Multiple Ionic Changes in Arrhythmic Risk Biomarkers in Human Ventricular Electrophysiology Journal Article
In: Biophysical Journal, vol. 102, no. 3, pp. 543-543, Published in abstract form, 2012.
A human ventricular cell model for investigation of cardiac arrhythmias under hyperkalaemic conditions Journal Article
In: Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 369, no. 1954, pp. 4205–4232, 2011.
Inproceedings
Influence of the Stimulation Current on the Differences Between Cell and Tissue Electrophysiological Simulations Inproceedings
In: 2019 Computing in Cardiology (CinC), 2019, ISBN: 978-1-7281-6936-1.
Influencia de la corriente de estimulación en las diferencias entre simulaciones electrofisiológicas de célula y tejido. Inproceedings
In: XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Ciudad Real, pp. 125 - 128, 2018, ISBN: 978-84-09-06253-9.
Volunteer Computing Approach for the Collaborative Simulation of Electrophysiological Models Inproceedings
In: 2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp. 118-123, 2016.
Wearable Monitoring for the Detection of Nocturnal Agitation in Dementia Inproceedings
In: Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems, pp. 63-69, 2016, ISBN: 978-989-758-195-3.
The Role of Purkinje Automaticity as an Arrhythmia Mechanism in Hyperkalaemia Inproceedings
In: Computing in Cardiology, pp. 873-876, 2015.
In silico simulations of experimental protocols for cardiac modeling Inproceedings
In: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, pp. 5695-5698, 2014, ISSN: 1557-170X.
Repolarization alternans in human ventricular hyperkalaemic tissue: dependence on current stimulation Inproceedings
In: XXXII Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Barcelona, pp. 1-4, 2014, ISBN: 9788461724468.
Analysis and improvement of a human ventricular cell model for investigation of cardiac arrhythmias Inproceedings
In: Computing in Cardiology, 2010, pp. 817-820, 2010, ISSN: 0276-6547.
Conferences
Multiscale Methods for Definition of Ionic Variables in Electrophysiological Models Conference
EMBEC 2017, NBC 2017, Abstracts Book pp. 115, 2017.
A Response Surface Optimization approach to adjust ionic current conductances of cardiac electrophysiological models Conference
Cardiac Arrhythmia Mechanisms 2015, Lucca (Italy), 2015.
PhD Theses
New methodologies for the development and validation of electrophysiological models PhD Thesis
Universtity of Zaragoza, 2019, ISSN: 2254-7606.
Masters Theses
An Improved Human Ventricular Cell Model for Investigation of Cardiac Arrhythmias under Hyperkalemic Conditions Masters Thesis
University of Zaragoza, University of Zaragoza, SPAIN, 2010.