Bayesian Optimization for the Inverse Problem in Electrocardiography-Reference-Cited by-同舟云学术

Bayesian Optimization for the Inverse Problem in Electrocardiography

Published:2023-12-05 Issue: Volume: Page:
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Container-title:2023 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Lopez-Rincon Alejandro¹,Rojas-Velazquez David¹,Garssen Johan²,van der Laan Sander W.³,Oberski Daniel⁴,Tonda Alberto⁵

Affiliation:

1. Utrecht University, University Medical Center Utrecht,Division of Pharmacology, Julius Center for Health Sciences and Primary Care,Department of Data Science,Utrecht,NL

2. Utrecht University,Division of Pharmacology, Global Centre of Excellence Immunology Danone Nutricia Research,Utrecht,NL

3. UMC Utrecht, Utrecht University Center of Public Health Genomics University of Virginia,Central Diagnostics Laboratory, Division Laboratory, Pharmacy, and Biomedical genetics,Charlottesville,VA,USA

4. University Medical Center Utrecht, Utrecht University,Julius Center for Health Sciences and Primary Care,Department of Data Science, Dept of Methodology and Statistics,Utrecht,NL

5. INRAE, Université Paris-Saclay, Institut des Systèmes Complexes de Paris IledeFrance (ISC-PIF) - UAR,UMR 518 MIAPS,Paris,FR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371791.pdf?arnumber=10371791

Reference51 articles.

1. Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns

2. Solving the Inverse Problem of Electrocardiography on the Endocardium Using a Single Layer Source

3. The forward and inverse problems of electrocardiography

4. Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography

5. Use of genetic algorithm for selection of regularization parameters in multiple constraint inverse ECG problem

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