Stracina Tibor, Ronzhina Marina, Redina Richard, Novakova Marie
Department of Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic.
Front Physiol. 2022 Apr 25;13:867033. doi: 10.3389/fphys.2022.867033. eCollection 2022.
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.
几个世纪以来，人们一直在研究心血管系统及其在生理和病理生理条件下的功能。心血管研究中最重要的步骤之一是能够记录心脏电活动。从那时起，人们进行了无数的改进；然而，心电图仍然是该领域的黄金标准。本文概述了心电图记录在研究和临床实践中的可能性，讨论了各种方法的优缺点，并总结了高级数据分析的可能性。特别强调了在广泛的临床应用中得到广泛应用并在实验分支中提供了广阔前景的先进深度学习技术。由于根据世界卫生组织的数据，心血管疾病是全球主要的死亡原因，因此研究心脏电活动对于实验性和临床心脏病学仍然非常重要。
