Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping

Gradient-Based Optimization of All-Pass Filter Networks for Non-Invasive Electroanatomical Mapping

Existing approaches to non-invasive electroanatomical mapping face a fundamental challenge: accurately representing the continuous propagation velocities crucial for cardiac arrhythmia localization. Current methods either sacrifice precision by using discrete delays or require computationally intens...

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Bibliographic Details
Main Authors: Erik Engelhardt, Johannes Hoffmann, Moritz Boueke, Lukas Elsner, Marius Leye, Norbert Frey, Gerhard Schmidt
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
All-pass filter networks
gradient descent optimization
cardiac propagation velocity
non-invasive electroanatomical mapping
magnetocardiography
computational modeling
Online Access:https://ieeexplore.ieee.org/document/11078281/
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https://ieeexplore.ieee.org/document/11078281/

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