Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context
المؤلفون: Stračina, Tibor, Ronzhina, Marina, Ředina, Richard, Nováková, Marie
المصدر: Frontiers in Physiology. 2022, vol. 13, issue 1, p. 1-20.
بيانات النشر: Frontiers Media
سنة النشر: 2022
المجموعة: Brno University of Technology (VUT): Digital Library / Vysoké učení technické v Brně: Digitální knihovně
مصطلحات موضوعية: electrocardiogram, ECG recording, animal model, deep learning, ECG analysis, artificial intelligence, isolated heart, arrhythmia classification
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
وصف الملف: text; 1-20; application/pdf
اللغة: English
تدمد: 1664-042X
Relation: Frontiers in Physiology; https://www.frontiersin.org/articles/10.3389/fphys.2022.867033/full; http://hdl.handle.net/11012/208145
DOI: 10.3389/fphys.2022.867033
الاتاحة: http://hdl.handle.net/11012/208145
https://doi.org/10.3389/fphys.2022.867033
Rights: Creative Commons Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ ; openAccess ; http://www.sherpa.ac.uk/romeo/issn/1664-042X/
رقم الانضمام: edsbas.5815BEEB
قاعدة البيانات: BASE
الوصف
تدمد:1664042X
DOI:10.3389/fphys.2022.867033