@inproceedings{a41f2d0203874fbaaaac5e7c2ac085ed,
title = "Sequential state estimation for electrophysiology models with front level-set data using topological gradient derivations",
abstract = "We propose a new sequential estimation method for making an electrophysiology model patient-specific, with data in the form of level sets of the electrical potential. Our method incorporates a novel correction term based on topological gradients, in order to track solutions of complex patterns. Our assessments demonstrate the effectiveness of this approach, including in a realistic case of atrial fibrillation.",
keywords = "Bidomain equations, Data assimilation, Electrophysiology modeling, Estimation, Observer, Shape derivative, Topological gradient",
author = "A. Collin and D. Chapelle and P. Moireau",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015 ; Conference date: 25-06-2015 Through 27-06-2015",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-20309-6\_46",
language = "English",
isbn = "9783319203089",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "402--411",
editor = "\{van Assen\}, Hans and Peter Bovendeerd and \{van Assen\}, Hans and Peter Bovendeerd and Tammo Delhaas and Tammo Delhaas",
booktitle = "Functional Imaging and Modeling of the Heart - 8th International Conference, FIMH 2015, Proceedings",
}