A Spatial Adaptation of the Time Delay Neural Network for Solving ECGI Inverse Problem
Langue
en
Communication dans un congrès
Ce document a été publié dans
Lecture Notes in Computer Science, Lecture Notes in Computer Science, FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, 2019-06-06, Bordeaux. 2019-05-30, vol. LNCS-11504, p. 94-102
Springer
Résumé en anglais
The ECGI inverse problem is still a common area of research. Since the results in the state of the art are not yet satisfactory, exploring new methods for the resolution of the inverse problem of electrocardiography is the ...Lire la suite >
The ECGI inverse problem is still a common area of research. Since the results in the state of the art are not yet satisfactory, exploring new methods for the resolution of the inverse problem of electrocardiography is the main goal of this paper. To this purpose, we suggest to use temporal and spatial constraints to solve the inverse problem using neural networks methods. First, we use a time-delay neural network initialized with the spatial adjacency operator of the heart surface mesh. Then, we suggest a new approach to reconstruct the heart surface potential from the body surface potential using a spatial adaptation of time delay neural network. It consists on taking into account temporal and spatial dependence between potential measures. This allows to exploit the local and dynamic potential propagation properties. We test these approaches on simulated data. Results show that the new approach outperforms the classic time-delay neural network and has considerableimprovements with respect to the state-of-the-art methods.< Réduire
Mots clés en anglais
Time-delay neural network
Spatial adaptation
Adjacency matrix
Inverse problem
Electrocardiography
Project ANR
L'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
Plateforme FDSOI pour le node 11nm - ANR-10-EQPX-0030
Plateforme FDSOI pour le node 11nm - ANR-10-EQPX-0030
Origine
Importé de halUnités de recherche