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

Simple item page
dc.contributor.authorStračina, Tiborcs
dc.contributor.authorRonzhina, Marinacs
dc.contributor.authorŘedina, Richardcs
dc.contributor.authorNováková, Mariecs
dc.coverage.issue1cs
dc.coverage.volume13cs
dc.date.accessioned2022-07-01T14:53:05Z
dc.date.available2022-07-01T14:53:05Z
dc.date.issued2022-04-25cs
dc.description.abstractCardiovascular 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.en
dc.formattextcs
dc.format.extent1-20cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationFrontiers in Physiology. 2022, vol. 13, issue 1, p. 1-20.en
dc.identifier.doi10.3389/fphys.2022.867033cs
dc.identifier.issn1664-042Xcs
dc.identifier.other178297cs
dc.identifier.urihttp://hdl.handle.net/11012/208145
dc.language.isoencs
dc.publisherFrontiers Mediacs
dc.relation.ispartofFrontiers in Physiologycs
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fphys.2022.867033/fullcs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1664-042X/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectelectrocardiogramen
dc.subjectECG recordingen
dc.subjectanimal modelen
dc.subjectdeep learningen
dc.subjectECG analysisen
dc.subjectartificial intelligenceen
dc.subjectisolated hearten
dc.subjectarrhythmia classificationen
dc.titleGolden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Contexten
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-178297en
sync.item.dbtypeVAVen
sync.item.insts2022.11.16 12:52:33en
sync.item.modts2022.11.16 12:14:24en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
fphys13867033.pdf
Size:
1.51 MB
Format:
Adobe Portable Document Format
Description:
fphys13867033.pdf
Download
Collections
Ústav biomedicínského inženýrství