Publication result detail

Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context

STRAČINA, T.; RONZHINA, M.; ŘEDINA, R.; NOVÁKOVÁ, M.

Original Title

Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context

English Title

Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context

Type

WoS Article

Original 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.

English 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.

Keywords

electrocardiogram; ECG recording; animal model; deep learning; ECG analysis; artificial intelligence; isolated heart; arrhythmia classification

Key words in English

electrocardiogram; ECG recording; animal model; deep learning; ECG analysis; artificial intelligence; isolated heart; arrhythmia classification

Authors

STRAČINA, T.; RONZHINA, M.; ŘEDINA, R.; NOVÁKOVÁ, M.

RIV year

2022

Released

25.04.2022

Publisher

Frontiers Media

Location

LAUSANNE

ISBN

1664-042X

Periodical

Frontiers in Physiology

Volume

13

Number

1

State

Swiss Confederation

Pages from

1

Pages to

20

Pages count

20

URL

https://www.frontiersin.org/articles/10.3389/fphys.2022.867033/full

Full text in the Digital Library

http://hdl.handle.net/11012/208145

BibTex

@article{BUT178297,
  author="Tibor {Stračina} and Marina {Filipenská} and Richard {Ředina} and Marie {Nováková}",
  title="Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context",
  journal="Frontiers in Physiology",
  year="2022",
  volume="13",
  number="1",
  pages="1--20",
  doi="10.3389/fphys.2022.867033",
  issn="1664-042X",
  url="https://www.frontiersin.org/articles/10.3389/fphys.2022.867033/full"
}

Documents

fphys-13-867033