In: International journal for numerical methods in biomedical engineering, 2021, vol. 37, no. 8, p. 30
The identification of the initial ventricular activation sequence is a critical step for the correct personalization of patient- specific cardiac models. In healthy conditions, the Purkinje network is the main source of the electrical activation, but under pathological conditions the so-called earliest activation sites (EASs) are possibly sparser and more localized. Yet, their number, location...
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In: Pediatric Cardiology, 2015, vol. 36, no. 1, p. 96-105
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In: Interactive CardioVascular and Thoracic Surgery, 2018, vol. 27, no. 2, p. 198-201
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In: Journal of Molecular Medicine, 2015, vol. 93, no. 12, p. 1369-1379
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In: The International Journal of Cardiovascular Imaging, 2015, vol. 31, no. 5, p. 915-926
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In: Clinical Research in Cardiology, 2015, vol. 104, no. 2, p. 136-144
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In: Interactive CardioVascular and Thoracic Surgery, 2017, vol. 24, no. 5, p. 721-726
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In: Clinical Research in Cardiology, 2015, vol. 104, no. 2, p. 124-135
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In: Amino Acids, 2015, vol. 47, no. 4, p. 693-705
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In: Journal of computational physics, 2021, vol. 433, p. 17 p
We present a novel approach aimed at high-performance uncertainty quantification for time-dependent problems governed by partial differential equations. In particular, we consider input uncertainties described by a Karhunen-Loève expansion and compute statistics of high-dimensional quantities-of-interest, such as the cardiac activation potential. Our methodology relies on a close integration...
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