STRAČINA, Tibor, Ronzhina MARINA, Richard ŘEDINA and Marie NOVÁKOVÁ. Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context. Frontiers in Physiology. Lausanne: Frontiers, 2022, vol. 13, April 2022, p. 1-20. ISSN 1664-042X. Available from: https://dx.doi.org/10.3389/fphys.2022.867033.
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Basic information
Original name Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context
Authors STRAČINA, Tibor (703 Slovakia, belonging to the institution), Ronzhina MARINA, Richard ŘEDINA (203 Czech Republic) and Marie NOVÁKOVÁ (203 Czech Republic, guarantor, belonging to the institution).
Edition Frontiers in Physiology, Lausanne, Frontiers, 2022, 1664-042X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30105 Physiology
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.000
RIV identification code RIV/00216224:14110/22:00125711
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.3389/fphys.2022.867033
UT WoS 000795590000001
Keywords in English electrocardiogram; ECG recording; animal model; deep learning; ECG analysis; artificial intelligence; isolated heart; arrhythmia classification
Tags 14110515, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 19/7/2022 10:06.
Abstract
Cardiovascular system and its functions under both physiological and pathophysiological conditions have been studied for centuries. One of the most important steps in the cardiovascular research was the possibility to record cardiac electrical activity. Since then, numerous modifications and improvements have been introduced; however, an electrocardiogram still represents a golden standard in this field. This paper overviews possibilities of ECG recordings in research and clinical practice, deals with advantages and disadvantages of various approaches, and summarizes possibilities of advanced data analysis. Special emphasis is given to state-of-the-art deep learning techniques intensely expanded in a wide range of clinical applications and offering promising prospects in experimental branches. Since, according to the World Health Organization, cardiovascular diseases are the main cause of death worldwide, studying electrical activity of the heart is still of high importance for both experimental and clinical cardiology.
Links
MUNI/A/1133/2021, interní kód MUName: Od buňky k medicíně (Acronym: CELLVIEW)
Investor: Masaryk University
MUNI/11/SUP/09/2022, interní kód MUName: Vliv sociální izolace na remodelaci myokardu – úloha sigma 1 receptorů
Investor: Masaryk University, Start-up
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