Dipartimento di Matematica

Seminario / Workshop
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From P to S: what can we learn from the 12-lead ECG for cardiac digital twins

19 Maggio 2026 , ore 11:30 - 12:30
Polo Ferrari 1, Via Sommarive 5, Povo (Trento)
Aula A221
Ingresso libero
Organizzato da: Dipartimento di Matematica
Destinatari: Dottorandi e dottorande, Assegniste e assegnisti di ricerca, Ricercatrici e ricercatori, Ricercatrici e ricercatori postdoc, Docenti UniTrento
Referente: Simone Pezzuto
Contatti: 
Staff del Dipartimento di Matematica
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Speaker: Francisco Sahli Costabal (Pontificia Universidad Católica de Chile)

The 12-lead ECG is recorded roughly 300 million times per year worldwide, yet most of its spatiotemporal information is discarded. This talk presents three efforts that combine the ECG with biophysical models to build patient-specific cardiac digital twins from non-invasive data.
First, we reconstruct the ventricular Purkinje network from the QRS complex as a probabilistic inverse problem solved with Bayesian optimization. The framework yields uncertainty estimates on network parameters and propagates them through downstream predictions, such as conduction-system pacing in patients with left bundle branch block and intraventricular conduction delay.
Second, we recover atrial activation from the P-wave. Building on a rapid anisotropic eikonal lead-field formulation, we introduce Δ-PoIssoNN, a physics-informed neural network that recasts the anisotropic eikonal equation as a Poisson problem, constraining solutions to satisfy the propagation model. It outperforms a standard Δ-PINN on synthetic data and produces physiologically consistent activations on patient P-waves.
Third, we address cardiac arrhythmias by reconstructing phase maps from a complex eikonal formulation, with phase observations obtained from the Fourier transform at the dominant frequency. A physics-informed neural network recovers re-entry and spiral-wave phase maps from sparse electrograms, even under substantial missing data.

Bio: Francisco Sahli received his degree in Mechanical Engineering and his Master's degree in Engineering Sciences from Pontificia Universidad Católica de Chile in 2011. Upon graduation, he was awarded the Mario Hiriart prize, the Ismael Valdés Valdés prize, and also the prize for best thesis from the Mechanical Engineering Department. In 2014, he received a Fulbright-CONICYT scholarship to pursue doctoral studies in the United States. He completed his PhD in Mechanical Engineering at Stanford University in 2018. After a postdoctoral stay at Pontificia Universidad Católica de Chile, he started in 2019 as an Assistant Professor in the Department of Mechanical and Metallurgical Engineering and at the Institute for Biological and Medical Engineering at the same university. Since 2026 he is an associate professor.