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 Director of the Degree in Bioinformatics.
Journal Articles
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Monasterio, V; Castro, J; Carro, J DENIS: Solving cardiac electrophysiological simulations with volunteer computing (Journal Article) PLoS One, 13 (10), pp. e0205568, 2018, ISSN: 1932-6203. (Links | BibTeX) @article{Monasterio2018,
title = {DENIS: Solving cardiac electrophysiological simulations with volunteer computing},
author = {Monasterio, V. and Castro, J. and Carro, J.},
editor = {Alexander V. Panfilov, Universiteit Gent, BELGIUM},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205568
https://denis.usj.es/wp-content/uploads/2018/10/journal.pone_.0205568.pdf},
doi = {10.1371/journal.pone.0205568},
issn = {1932-6203},
year = {2018},
date = {2018-10-16},
journal = {PLoS One},
volume = {13},
number = {10},
pages = {e0205568},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Carro, J; Pueyo, E; Rodríguez Matas, J F A response surface optimization approach to adjust ionic current conductances of cardiac electrophysiological models. Application to the study of potassium level changes (Journal Article) PLoS One, 13 (10), pp. e0204411, 2018, ISSN: 1932-6203. (Abstract | Links | BibTeX) @article{carro2018,
title = {A response surface optimization approach to adjust ionic current conductances of cardiac electrophysiological models. Application to the study of potassium level changes},
author = {Carro, J. and Pueyo, E. and Rodríguez Matas, J.F.},
url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204411},
doi = {10.1371/journal.pone.0204411},
issn = {1932-6203},
year = {2018},
date = {2018-10-03},
journal = {PLoS One},
volume = {13},
number = {10},
pages = {e0204411},
abstract = {Cardiac electrophysiological computational models are often developed from previously published models. The new models may incorporate additional features to adapt the model to a different species or may upgrade a specific ionic formulation based on newly available experimental data. A relevant challenge in the development of a new model is the estimation of certain ionic current conductances that cannot be reliably identified from experiments. A common strategy to estimate those conductances is by means of constrained non-linear least-squares optimization. In this work, a novel methodology is proposed for estimation of ionic current conductances of cardiac electrophysiological models by using a response surface approximation-based constrained optimization with trust region management. Polynomial response surfaces of a number of electrophysiological markers were built using statistical sampling methods. These markers included action potential duration (APD), triangulation, diastolic and systolic intracellular calcium concentration, and time constants of APD rate adaptation. The proposed methodology was applied to update the Carro et al. human ventricular action potential model after incorporation of intracellular potassium ([K+]i) dynamics. While the Carro et al. model was well suited for investigation of arrhythmogenesis, it did not allow simulation of [K+]i changes. With the methodology proposed in this study, the updated Carro et al. human ventricular model could be used to simulate [K+]i changes in response to varying extracellular potassium ([K+]o) levels. Additionally, it rendered values of evaluated electrophysiological markers within physiologically plausible ranges. The optimal values of ionic current conductances in the updated model were found in a notably shorter time than with previously proposed methodologies. As a conclusion, the response surface optimization-based approach proposed in this study allows estimating ionic current conductances of cardiac electrophysiological computational models while guaranteeing replication of key electrophysiological features and with an important reduction in computational cost with respect to previously published approaches. The updated Carro et al. model developed in this study is thus suitable for the investigation of arrhythmic risk-related conditions, including those involving large changes in potassium concentration.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cardiac electrophysiological computational models are often developed from previously published models. The new models may incorporate additional features to adapt the model to a different species or may upgrade a specific ionic formulation based on newly available experimental data. A relevant challenge in the development of a new model is the estimation of certain ionic current conductances that cannot be reliably identified from experiments. A common strategy to estimate those conductances is by means of constrained non-linear least-squares optimization. In this work, a novel methodology is proposed for estimation of ionic current conductances of cardiac electrophysiological models by using a response surface approximation-based constrained optimization with trust region management. Polynomial response surfaces of a number of electrophysiological markers were built using statistical sampling methods. These markers included action potential duration (APD), triangulation, diastolic and systolic intracellular calcium concentration, and time constants of APD rate adaptation. The proposed methodology was applied to update the Carro et al. human ventricular action potential model after incorporation of intracellular potassium ([K+]i) dynamics. While the Carro et al. model was well suited for investigation of arrhythmogenesis, it did not allow simulation of [K+]i changes. With the methodology proposed in this study, the updated Carro et al. human ventricular model could be used to simulate [K+]i changes in response to varying extracellular potassium ([K+]o) levels. Additionally, it rendered values of evaluated electrophysiological markers within physiologically plausible ranges. The optimal values of ionic current conductances in the updated model were found in a notably shorter time than with previously proposed methodologies. As a conclusion, the response surface optimization-based approach proposed in this study allows estimating ionic current conductances of cardiac electrophysiological computational models while guaranteeing replication of key electrophysiological features and with an important reduction in computational cost with respect to previously published approaches. The updated Carro et al. model developed in this study is thus suitable for the investigation of arrhythmic risk-related conditions, including those involving large changes in potassium concentration. |
Carro, J; Rodríguez Matas, J F; Monasterio, V; Pueyo, E Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols (Journal Article) Progress in Biophysics and Molecular Biology, 129 , pp. 53-64, 2017, ISSN: 0079-6107. (Links | BibTeX) @article{Carro2017a,
title = {Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols},
author = {Carro, J. and Rodríguez Matas, J.F. and Monasterio, V. and Pueyo, E.},
url = {http://www.sciencedirect.com/science/article/pii/S007961071630013X
http://denis.usj.es/web/wp-content/uploads/2017/06/carro2016.pdf},
doi = {10.1016/j.pbiomolbio.2016.11.006},
issn = {0079-6107},
year = {2017},
date = {2017-10-01},
journal = {Progress in Biophysics and Molecular Biology},
volume = {129},
pages = {53-64},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Carro, J; Rodríguez Matas, J F; Pueyo, E A Methodology to Improve Human Ventricular Models for the Investigation of Cardiac Arrhythmias (Journal Article) Biophysical Journal, 112 (3, Supplement 1), pp. 403a, Published in abstract form, 2017, ISSN: 0006-3495. (Links | BibTeX) @article{Carro2017a,
title = {A Methodology to Improve Human Ventricular Models for the Investigation of Cardiac Arrhythmias},
author = {Carro, J. and Rodríguez Matas, J.F. and Pueyo, E.},
url = {http://denis.usj.es/web/wp-content/uploads/2017/06/carro2017a.pdf},
doi = {http://dx.doi.org/10.1016/j.bpj.2016.11.2183},
issn = {0006-3495},
year = {2017},
date = {2017-01-01},
journal = {Biophysical Journal},
volume = {112},
number = {3, Supplement 1},
pages = {403a, Published in abstract form},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Rodríguez Matas, J F; Carro, J; Pueyo, E; Burrage, K; Rodríguez, B Impact of Multiple Ionic Changes in Arrhythmic Risk Biomarkers in Human Ventricular Electrophysiology (Journal Article) Biophysical Journal, 102 (3), pp. 543-543, Published in abstract form, 2012. (Links | BibTeX) @article{Rodriguez2012,
title = {Impact of Multiple Ionic Changes in Arrhythmic Risk Biomarkers in Human Ventricular Electrophysiology},
author = {Rodríguez Matas, J.F. and Carro, J. and Pueyo, E. and Burrage, K. and Rodríguez, B.},
url = {http://dx.doi.org/10.1016/j.bpj.2011.11.2965},
doi = {10.1016/j.bpj.2011.11.2965},
year = {2012},
date = {2012-01-01},
journal = {Biophysical Journal},
volume = {102},
number = {3},
pages = {543-543, Published in abstract form},
publisher = {Biophysical Journal},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Carro, J; Rodríguez Matas, J F; Laguna, P; Pueyo, E A human ventricular cell model for investigation of cardiac arrhythmias under hyperkalaemic conditions (Journal Article) Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 369 (1954), pp. 4205–4232, 2011. (Links | BibTeX) @article{Carro2011,
title = {A human ventricular cell model for investigation of cardiac arrhythmias under hyperkalaemic conditions},
author = {Carro, J. and Rodríguez Matas, J.F. and Laguna, P. and Pueyo, E.},
url = {http://dx.doi.org/10.1098/rsta.2011.0127},
doi = {10.1098/rsta.2011.0127},
year = {2011},
date = {2011-01-01},
journal = {Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences},
volume = {369},
number = {1954},
pages = {4205--4232},
publisher = {The Royal Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Inproceedings
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Monasterio, V; Pueyo, E; Rodríguez-Matas, J F; Carro, J Influence of the Stimulation Current on the Differences Between Cell and Tissue Electrophysiological Simulations (Inproceedings) 2019 Computing in Cardiology (CinC), 2019, ISBN: 978-1-7281-6936-1. (Abstract | Links | BibTeX) @inproceedings{Monasterio2019,
title = {Influence of the Stimulation Current on the Differences Between Cell and Tissue Electrophysiological Simulations},
author = {Monasterio, V. and Pueyo, E. and Rodríguez-Matas, J. F. and Carro, J.},
url = {http://www.cinc.org/archives/2019/pdf/CinC2019-104.pdf},
doi = {10.22489/CinC.2019.104},
isbn = {978-1-7281-6936-1},
year = {2019},
date = {2019-09-11},
booktitle = {2019 Computing in Cardiology (CinC)},
abstract = {This study compares stimulation waveforms for single-cell simulations. The alternatives include monophasic and biphasic current pulses, and a new waveform that resembles the transmembrane current responsible for conduction in tissue. Results indicate that the new stimulation produces the lowest mismatch between action potential markers simulated in cell and in tissue. In comparison with the monophasic stimulation, the new stimulation reduced cell-fiber differences by 99% for triangulation, by 95% for maximum transmembrane voltage, and by 76% for the maximum voltage slope. In conclusion, the new stimulation waveform could help to improve the trustworthiness of single-cell simulations in studies involving tissue-derived markers.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This study compares stimulation waveforms for single-cell simulations. The alternatives include monophasic and biphasic current pulses, and a new waveform that resembles the transmembrane current responsible for conduction in tissue. Results indicate that the new stimulation produces the lowest mismatch between action potential markers simulated in cell and in tissue. In comparison with the monophasic stimulation, the new stimulation reduced cell-fiber differences by 99% for triangulation, by 95% for maximum transmembrane voltage, and by 76% for the maximum voltage slope. In conclusion, the new stimulation waveform could help to improve the trustworthiness of single-cell simulations in studies involving tissue-derived markers. |
Monasterio, V; Pueyo, E; Rodríguez-Matas, J F; Carro, J Influencia de la corriente de estimulación en las diferencias entre simulaciones electrofisiológicas de célula y tejido. (Inproceedings) XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Ciudad Real, pp. 125 - 128, 2018, ISBN: 978-84-09-06253-9. (Links | BibTeX) @inproceedings{monasterio2018b,
title = {Influencia de la corriente de estimulación en las diferencias entre simulaciones electrofisiológicas de célula y tejido.},
author = {Monasterio, V. and Pueyo, E. and Rodríguez-Matas, J. F. and Carro, J.},
url = {http://diec.unizar.es/~laguna/personal/publicaciones/Caseib18Monasterio.pdf},
isbn = {978-84-09-06253-9},
year = {2018},
date = {2018-11-23},
booktitle = {XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Ciudad Real},
pages = {125 - 128},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Castro, J; Monasterio, V; Carro, J Volunteer Computing Approach for the Collaborative Simulation of Electrophysiological Models (Inproceedings) 2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp. 118-123, 2016. (Links | BibTeX) @inproceedings{Castro2016,
title = {Volunteer Computing Approach for the Collaborative Simulation of Electrophysiological Models},
author = {Castro, J. and Monasterio, V. and Carro, J.},
url = {http://denis.usj.es/web/wp-content/uploads/2017/07/castro2016.pdf},
doi = {10.1109/WETICE.2016.34},
year = {2016},
date = {2016-06-01},
booktitle = {2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)},
pages = {118-123},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Marcén, A C; Carro, J; Monasterio, V Wearable Monitoring for the Detection of Nocturnal Agitation in Dementia (Inproceedings) 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. (Links | BibTeX) @inproceedings{Marcen2016,
title = {Wearable Monitoring for the Detection of Nocturnal Agitation in Dementia},
author = {Marcén, A.C. and Carro, J. and Monasterio, V.},
doi = {10.5220/0005938500630069},
isbn = {978-989-758-195-3},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems},
pages = {63-69},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Monasterio, V; Carro, J; Rodríguez Matas, J F; Pueyo, E The Role of Purkinje Automaticity as an Arrhythmia Mechanism in Hyperkalaemia (Inproceedings) Computing in Cardiology, pp. 873-876, 2015. (Links | BibTeX) @inproceedings{Monasterio2015,
title = {The Role of Purkinje Automaticity as an Arrhythmia Mechanism in Hyperkalaemia},
author = {Monasterio, V. and Carro, J. and Rodríguez Matas, J.F. and Pueyo, E.},
doi = {10.1109/CIC.2015.7411050},
year = {2015},
date = {2015-01-01},
booktitle = {Computing in Cardiology},
volume = {42},
pages = {873-876},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Carro, J; Rodríguez Matas, J F; Pueyo, E In silico simulations of experimental protocols for cardiac modeling (Inproceedings) Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, pp. 5695-5698, 2014, ISSN: 1557-170X. (Links | BibTeX) @inproceedings{Carro2014,
title = {In silico simulations of experimental protocols for cardiac modeling},
author = {Carro, J. and Rodríguez Matas, J.F. and Pueyo, E.},
url = {http://dx.doir.org/10.1109/EMBC.2014.6944920},
doi = {10.1109/EMBC.2014.6944920},
issn = {1557-170X},
year = {2014},
date = {2014-08-01},
booktitle = {Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE},
pages = {5695-5698},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Monasterio, V; Carro, J; Pueyo, E Repolarization alternans in human ventricular hyperkalaemic tissue: dependence on current stimulation (Inproceedings) XXXII Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Barcelona, pp. 1-4, 2014, ISBN: 9788461724468. (BibTeX) @inproceedings{Monasterio2014,
title = {Repolarization alternans in human ventricular hyperkalaemic tissue: dependence on current stimulation},
author = {Monasterio, V. and Carro, J. and Pueyo, E.},
isbn = {9788461724468},
year = {2014},
date = {2014-01-01},
booktitle = {XXXII Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Barcelona},
pages = {1-4},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Carro, J; Rodríguez Matas, J F; Laguna, P; Pueyo, E Analysis and improvement of a human ventricular cell model for investigation of cardiac arrhythmias (Inproceedings) Computing in Cardiology, 2010, pp. 817-820, 2010, ISSN: 0276-6547. (Links | BibTeX) @inproceedings{Carro2010,
title = {Analysis and improvement of a human ventricular cell model for investigation of cardiac arrhythmias},
author = {Carro, J. and Rodríguez Matas, J.F. and Laguna, P. and Pueyo, E.},
url = {http://ieeexplore.ieee.org/document/5738098/},
issn = {0276-6547},
year = {2010},
date = {2010-09-01},
booktitle = {Computing in Cardiology, 2010},
pages = {817-820},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Conferences
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Carro, J; Rodríguez Matas, J F; Pueyo, E Multiscale Methods for Definition of Ionic Variables in Electrophysiological Models (Conference) EMBEC 2017, NBC 2017, Abstracts Book pp. 115, 2017. (Links | BibTeX) @conference{Carro2017c,
title = {Multiscale Methods for Definition of Ionic Variables in Electrophysiological Models},
author = {Carro, J. and Rodríguez Matas, J.F. and Pueyo, E.},
url = {http://denis.usj.es/wp-content/uploads/2017/11/EMBEC-NBC-17-Jesus.pdf},
year = {2017},
date = {2017-06-12},
booktitle = {EMBEC 2017, NBC 2017, Abstracts Book pp. 115},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Carro, J; Rodríguez Matas, J F; Pueyo, E A Response Surface Optimization approach to adjust ionic current conductances of cardiac electrophysiological models (Conference) Cardiac Arrhythmia Mechanisms 2015, Lucca (Italy), 2015. (BibTeX) @conference{Carro2015,
title = {A Response Surface Optimization approach to adjust ionic current conductances of cardiac electrophysiological models },
author = {Carro, J. and Rodríguez Matas, J.F. and Pueyo, E.},
year = {2015},
date = {2015-03-27},
booktitle = {Cardiac Arrhythmia Mechanisms 2015, Lucca (Italy)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
PhD Theses
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Carro, J New methodologies for the development and validation of electrophysiological models (PhD Thesis) Universtity of Zaragoza, 2019, ISSN: 2254-7606. (Links | BibTeX) @phdthesis{Carro2019,
title = {New methodologies for the development and validation of electrophysiological models },
author = {Carro, J.},
url = {http://diec.unizar.es/~laguna/personal/publicaciones/ThesisJCarro.pdf},
issn = { 2254-7606},
year = {2019},
date = {2019-01-23},
school = {Universtity of Zaragoza},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
|
Masters Theses
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Carro, J An Improved Human Ventricular Cell Model for Investigation of Cardiac Arrhythmias under Hyperkalemic Conditions (Masters Thesis) University of Zaragoza, 2010. (Links | BibTeX) @mastersthesis{Carro2010MT,
title = {An Improved Human Ventricular Cell Model for Investigation of Cardiac Arrhythmias under Hyperkalemic Conditions},
author = {Carro, J.},
url = {https://zaguan.unizar.es/record/5430?ln=en},
year = {2010},
date = {2010-12-01},
address = {University of Zaragoza, SPAIN},
school = {University of Zaragoza},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
|
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.
