Academic Journal
Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context
العنوان: | Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context |
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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 |
تدمد: | 1664042X |
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DOI: | 10.3389/fphys.2022.867033 |