HIGH-RESOLUTION ELECTROCARDIOGRAPHY IN CLINICAL PRACTICE

V. Oslopov, A. V. Kushcheva, Amir R. Khairullin, Z. M. Kadyrova, J. Oslopova, E. V. Khazova, Yana D. Grishina, Zulfiya F. Kim
{"title":"HIGH-RESOLUTION ELECTROCARDIOGRAPHY IN CLINICAL PRACTICE","authors":"V. Oslopov, A. V. Kushcheva, Amir R. Khairullin, Z. M. Kadyrova, J. Oslopova, E. V. Khazova, Yana D. Grishina, Zulfiya F. Kim","doi":"10.20969/vskm.2023.16(6).110-122","DOIUrl":null,"url":null,"abstract":"Abstract. Introduction. Current technological progress and advances in electronics and medical equipment allow reaching unprecedented heights in the detection of various arrhythmic conditions, while such conditions can be observed directly at the time of their occurrence. Nevertheless, there is an issue related to predicting life-threatening conditions that may lead to cardiac arrest causing sudden cardiac death. We should also note some difficulties in timely predicting myocardial infarction. Therefore, it is necessary to develop new or implement the existing technologies that allow ensuring high susceptibility and specificity toward these disorders. Aim. To study the potential of high-frequency electrocardiography regarding identifying additional criteria for myocardial ischemia and informing about the possible development of cardiac arrhythmia. Materials and Methods. Methodological approaches: We searched for and analyzed sources in the NCBI and eLibrary databases and in Google Scholar using the following keywords: Advanced ECG, High Frequency ECG, and HF ECG ischaemia. The search was filtered for the years 1930-2022. Publications containing only summaries, abstracts, or duplicated information were excluded from the analysis. Thus, this present descriptive review includes generalized and systematized data from 50 sources, encompassing current clinical trials, reports, and systematic reviews. Results and Discussion. High-frequency electrocardiography is the most promising method in terms of the qualities required for a technique to register such disorders. When forming a cardiogram, the high-frequency electrocardiography method has three stages: 1) Registration of high-frequency electrical cardiac potentials; 2) signal amplification due to the computational performance to enhance the resolution; and 3) signal averaging through mathematical computations and further filtering the necessary sectors of the electrocardiogram. Combining the stages presented above allows registering low-amplitude signals, which would be impossible when using standard electrocardiography techniques. Low-amplitude signals provide important diagnostic information in risk stratification regarding life-threatening cardiovascular diseases. Detecting delayed myocardium depolarization potentials, ventricular late potentials, and atrial late potentials is an important task in identifying these pathologic conditions. Conclusions. Over thirty years, the high-frequency electrocardiography technique has been frequently studied and tested in various countries, such as the USA, Israel, Spain, Italy, South Korea, Japan, Russia, Austria, and Great Britain. These studies have proven the advantage of this method over the standard method of recording the electrical potentials of heart. This paper presents information on the studies and the facts proving the efficacy of the high-resolution electrocardiography technique.","PeriodicalId":110361,"journal":{"name":"The Bulletin of Contemporary Clinical Medicine","volume":"77 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Bulletin of Contemporary Clinical Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20969/vskm.2023.16(6).110-122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract. Introduction. Current technological progress and advances in electronics and medical equipment allow reaching unprecedented heights in the detection of various arrhythmic conditions, while such conditions can be observed directly at the time of their occurrence. Nevertheless, there is an issue related to predicting life-threatening conditions that may lead to cardiac arrest causing sudden cardiac death. We should also note some difficulties in timely predicting myocardial infarction. Therefore, it is necessary to develop new or implement the existing technologies that allow ensuring high susceptibility and specificity toward these disorders. Aim. To study the potential of high-frequency electrocardiography regarding identifying additional criteria for myocardial ischemia and informing about the possible development of cardiac arrhythmia. Materials and Methods. Methodological approaches: We searched for and analyzed sources in the NCBI and eLibrary databases and in Google Scholar using the following keywords: Advanced ECG, High Frequency ECG, and HF ECG ischaemia. The search was filtered for the years 1930-2022. Publications containing only summaries, abstracts, or duplicated information were excluded from the analysis. Thus, this present descriptive review includes generalized and systematized data from 50 sources, encompassing current clinical trials, reports, and systematic reviews. Results and Discussion. High-frequency electrocardiography is the most promising method in terms of the qualities required for a technique to register such disorders. When forming a cardiogram, the high-frequency electrocardiography method has three stages: 1) Registration of high-frequency electrical cardiac potentials; 2) signal amplification due to the computational performance to enhance the resolution; and 3) signal averaging through mathematical computations and further filtering the necessary sectors of the electrocardiogram. Combining the stages presented above allows registering low-amplitude signals, which would be impossible when using standard electrocardiography techniques. Low-amplitude signals provide important diagnostic information in risk stratification regarding life-threatening cardiovascular diseases. Detecting delayed myocardium depolarization potentials, ventricular late potentials, and atrial late potentials is an important task in identifying these pathologic conditions. Conclusions. Over thirty years, the high-frequency electrocardiography technique has been frequently studied and tested in various countries, such as the USA, Israel, Spain, Italy, South Korea, Japan, Russia, Austria, and Great Britain. These studies have proven the advantage of this method over the standard method of recording the electrical potentials of heart. This paper presents information on the studies and the facts proving the efficacy of the high-resolution electrocardiography technique.
高分辨率心电图在临床实践中的应用
摘要。导言。当前的技术进步以及电子和医疗设备的发展使各种心律失常状况的检测达到了前所未有的高度,而这些状况可以在发生时直接观察到。然而,在预测可能导致心脏骤停、引发心脏性猝死的危及生命的情况方面还存在问题。我们还应该注意到,及时预测心肌梗塞也存在一些困难。因此,有必要开发新技术或实施现有技术,以确保对这些疾病的高度敏感性和特异性。研究目的研究高频心电图在确定心肌缺血额外标准和告知心律失常可能发展方面的潜力。材料和方法。方法学方法:我们使用以下关键词在 NCBI 和 eLibrary 数据库以及 Google Scholar 中搜索并分析了相关资料:高级心电图、高频心电图和高频心电图缺血。搜索筛选的时间为 1930-2022 年。分析中排除了仅包含摘要、摘要或重复信息的出版物。因此,本描述性综述包括来自 50 个来源的概括性和系统化数据,其中包括当前的临床试验、报告和系统性综述。结果与讨论就登记此类疾病的技术所需的质量而言,高频心电图是最有前途的方法。在形成心电图时,高频心电图方法分为三个阶段:1) 登记高频心电电位;2) 利用计算性能放大信号,以提高分辨率;3) 通过数学计算对信号进行平均,并进一步过滤心电图的必要部分。将上述几个阶段结合起来,就能记录低振幅信号,而使用标准心电图技术是不可能记录低振幅信号的。低振幅信号为危及生命的心血管疾病的风险分层提供了重要的诊断信息。检测延迟的心肌去极化电位、心室晚电位和心房晚电位是识别这些病症的重要任务。结论。三十多年来,美国、以色列、西班牙、意大利、韩国、日本、俄罗斯、奥地利和英国等多个国家对高频心电图技术进行了频繁的研究和测试。这些研究证明,这种方法比记录心脏电位的标准方法更具优势。本文介绍了证明高分辨率心电图技术有效性的研究信息和事实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信