Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

A New ISTA-net Solution to Inverse Problem of Electrocardiology

Authors
Liansheng Wang, Weiqi Wu, Yiping Chen, Changhua Liu
Corresponding Author
Changhua Liu
Available Online May 2019.
DOI
10.2991/cnci-19.2019.14How to use a DOI?
Keywords
ISTA, ECG, inverse problem.
Abstract

In this paper, we combined the traditional ISTA approach with deep learning, transferred the application domain from image inverse problem to ECG inverse problem because of its excellent performance to propose a new ISTA-net method to solve the inverse problem of ECG. The proposed method has quick convergence speed, steady performance and good extend capability. We created the ISTA-net algorithm model based on the ECG physical model, and transformed it into a neural network structure to achieve automatic parameter selection and more accurate result. We use a real human model on the ECGsim software to obtain the simulated potentials on the cardiac surface and body surface to train our model. The result of our experiment confirms that the proposed method has a better performance in reconstructing epicardial surface potentials distribution compared with the common regularization method like TTLS, Tikhonov, TSVD method.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
Series
Advances in Computer Science Research
Publication Date
May 2019
ISBN
10.2991/cnci-19.2019.14
ISSN
2352-538X
DOI
10.2991/cnci-19.2019.14How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liansheng Wang
AU  - Weiqi Wu
AU  - Yiping Chen
AU  - Changhua Liu
PY  - 2019/05
DA  - 2019/05
TI  - A New ISTA-net Solution to Inverse Problem of Electrocardiology
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 105
EP  - 111
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.14
DO  - 10.2991/cnci-19.2019.14
ID  - Wang2019/05
ER  -