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Reconstruction of data inside myocardium from spatial measurements with neural networks. / Ushenin, Konstantin; Dordiuk, Vladislav; Dzhigil, Maksim.
Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 87-90.

Результаты исследований: Глава в книге, отчете, сборнике статей › Материалы конференции › Рецензирование

Harvard

Ushenin, K, Dordiuk, V & Dzhigil, M 2023, Reconstruction of data inside myocardium from spatial measurements with neural networks. в Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023: book. Institute of Electrical and Electronics Engineers Inc., стр. 87-90, Международная конференция 2023 Урало-Сибирская конференция по биомедицинской инженерии, радиоэлектронике и информационным технологиям (USBEREIT 2023), Екатеринбург, Российская Федерация, 15/05/2023. https://doi.org/10.1109/USBEREIT58508.2023.10158895

APA

Ushenin, K., Dordiuk, V., & Dzhigil, M. (2023). Reconstruction of data inside myocardium from spatial measurements with neural networks. в Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023: book (стр. 87-90). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USBEREIT58508.2023.10158895

Vancouver

Ushenin K, Dordiuk V, Dzhigil M. Reconstruction of data inside myocardium from spatial measurements with neural networks. в Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023: book. Institute of Electrical and Electronics Engineers Inc. 2023. стр. 87-90 doi: 10.1109/USBEREIT58508.2023.10158895

Author

Ushenin, Konstantin ; Dordiuk, Vladislav ; Dzhigil, Maksim. / Reconstruction of data inside myocardium from spatial measurements with neural networks. Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 87-90

BibTeX

@inproceedings{7f1e9447c31b45c49e2cb229136c69e1,
title = "Reconstruction of data inside myocardium from spatial measurements with neural networks",
abstract = "Myocardium is a muscle tissue of the heart that causes the strongest electrophysiological activity in the human body. Signals from the myocardium are recorded by many experimental and medical devices. These signals are used in cardiac surgery, biomedical engineering, and pharmacology. Here we propose a method for reconstruction of the signals inside the myocardium from measurements in a fixed set of points on the myocardial surface. Signals of transmembrane and extracellular potential from the myocardium have a notable pattern that repeats across all mediums with some time shifts and minor variations. It is possible to approximate the function that map coordinates inside the myocardium to expected signals. A multi-layer perceptron can do this task if some reformulation of the mathematical statement reduces the Lipschitz constant of the target function.",
author = "Konstantin Ushenin and Vladislav Dordiuk and Maksim Dzhigil",
note = "This work has been supported by the grant of the Russian Science Foundation, RSF 22-21-00930; 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) ; Conference date: 15-05-2023 Through 17-05-2023",
year = "2023",
month = may,
day = "15",
doi = "10.1109/USBEREIT58508.2023.10158895",
language = "English",
pages = "87--90",
booktitle = "Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Reconstruction of data inside myocardium from spatial measurements with neural networks

AU - Ushenin, Konstantin

AU - Dordiuk, Vladislav

AU - Dzhigil, Maksim

N1 - This work has been supported by the grant of the Russian Science Foundation, RSF 22-21-00930

PY - 2023/5/15

Y1 - 2023/5/15

N2 - Myocardium is a muscle tissue of the heart that causes the strongest electrophysiological activity in the human body. Signals from the myocardium are recorded by many experimental and medical devices. These signals are used in cardiac surgery, biomedical engineering, and pharmacology. Here we propose a method for reconstruction of the signals inside the myocardium from measurements in a fixed set of points on the myocardial surface. Signals of transmembrane and extracellular potential from the myocardium have a notable pattern that repeats across all mediums with some time shifts and minor variations. It is possible to approximate the function that map coordinates inside the myocardium to expected signals. A multi-layer perceptron can do this task if some reformulation of the mathematical statement reduces the Lipschitz constant of the target function.

AB - Myocardium is a muscle tissue of the heart that causes the strongest electrophysiological activity in the human body. Signals from the myocardium are recorded by many experimental and medical devices. These signals are used in cardiac surgery, biomedical engineering, and pharmacology. Here we propose a method for reconstruction of the signals inside the myocardium from measurements in a fixed set of points on the myocardial surface. Signals of transmembrane and extracellular potential from the myocardium have a notable pattern that repeats across all mediums with some time shifts and minor variations. It is possible to approximate the function that map coordinates inside the myocardium to expected signals. A multi-layer perceptron can do this task if some reformulation of the mathematical statement reduces the Lipschitz constant of the target function.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85164924018

U2 - 10.1109/USBEREIT58508.2023.10158895

DO - 10.1109/USBEREIT58508.2023.10158895

M3 - Conference contribution

SP - 87

EP - 90

BT - Proceedings - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)

Y2 - 15 May 2023 through 17 May 2023

ER -

ID: 41988183