Skip to Main content Skip to Navigation
Book sections

A Spatial Adaptation of the Time Delay Neural Network for Solving ECGI Inverse Problem

Abstract : 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 considerable improvements with respect to the state-of-the-art methods.
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/hal-02154094
Contributor : Nejib Zemzemi <>
Submitted on : Wednesday, June 12, 2019 - 4:51:06 PM
Last modification on : Thursday, March 5, 2020 - 3:31:12 PM

File

fimh2019_RevisedVersion.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Amel Karoui, Mostafa Bendahmane, Nejib Zemzemi. A Spatial Adaptation of the Time Delay Neural Network for Solving ECGI Inverse Problem. Yves Coudière; Valéry Ozenne; Edward Vigmond; Nejib Zemzemi. 10th International Symposium Functional Imaging and Modeling of the Heart, 11504, Springer, pp.94-102, 2019, Lecture Notes in Computer Science, 978-3-030-21949-9. ⟨10.1007/978-3-030-21949-9_11⟩. ⟨hal-02154094⟩

Share

Metrics

Record views

106

Files downloads

523