The contemporary ways of introduction ECG technology: ML, telemetry and bioauthentification.

IF 1.5 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Bogdan Shcheglov, Natalya Konoreva, Vasyli Koval, Boris Andryukov, Svetlana Shcheglova
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引用次数: 0

Abstract

It has been exactly 180 years since the pioneering work of Dr. Carlo Matteucci, professor of physics at the University of Pisa (1842), laid the basis of the method for the registration of biopotentials generated by muscles. In particular, these studies have found practical application in the principal non-invasive method of functional diagnosis of the cardiac muscle - electrocardiography (ECG). Almost a century has passed since this method became recognized and widely used in the clinic. However, to date, it has not only retained its importance in practical medicine but also remains a valuable diagnostic tool. This method allows understanding and effectively prevents errors in the present and future repetition. There are observed favorable trends of ECG-based diagnostics systems implementation and improvement in functional assessment of myocardium electrophysiological characteristics, which reflect cardiovascular pathological vital markers. The essential aim of this article is to demonstrate modern approaches of implementing ECG technology to various fields of medicine and health informatics. This research demonstrated a large number of modern innovations devoted to the automation and modification of implementation of this electrophysiological method and the possible ways to implement it in matters of home and individual monitoring of patients. Furthermore, the review examines the socio-economic issues of deploying and administering tele-ECG technologies to follow up on the global principles of digitization of healthcare and on-site diagnostics by emergency medical services (Tab. 2, Fig. 4, Ref. 87). Keywords: electrocardiography, tele-ECG, user bioauthentification.

介绍心电图技术的当代方式:ML、遥测和生物鉴定。
比萨大学物理学教授Carlo Matteucci博士(1842年)的开创性工作为肌肉产生的生物电位的登记方法奠定了基础,距今整整180年。特别是,这些研究已经在心肌功能诊断的主要非侵入性方法——心电图(ECG)中找到了实际应用。自从这种方法被认可并在临床上广泛应用以来,已经过去了将近一个世纪。然而,迄今为止,它不仅在实用医学中保持了其重要性,而且仍然是一种有价值的诊断工具。这种方法可以理解并有效地防止当前和未来重复中的错误。在反映心血管病理生命标志物的心肌电生理特征的功能评估方面,观察到基于心电图的诊断系统的实施和改进的有利趋势。本文的主要目的是展示将心电图技术应用于医学和健康信息学各个领域的现代方法。这项研究展示了大量现代创新,致力于实现这种电生理方法的自动化和修改,以及在家庭和患者个人监测方面实现它的可能方法。此外,该审查审查了部署和管理远程心电图技术的社会经济问题,以贯彻医疗保健数字化和紧急医疗服务现场诊断的全球原则(表2,图4,参考文献87)。关键词:心电图,远程心电图,用户生物识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
185
审稿时长
3-8 weeks
期刊介绍: The international biomedical journal - Bratislava Medical Journal – Bratislavske lekarske listy (Bratisl Lek Listy/Bratisl Med J) publishes peer-reviewed articles on all aspects of biomedical sciences, including experimental investigations with clear clinical relevance, original clinical studies and review articles.
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