提高无创心电图筛查系统的效率

O. Bodin, M. Kramm, A. Bodin, N. Kruchinina, N. Serzhantova
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引用次数: 0

摘要

本文探讨了提高基于多导联心电图信号配准的无创心电诊断筛查系统(NESS)效率的问题。所提出的ECS处理方法和手段参考了第四代心电图,可以更可靠地获得关于心脏过程的新信息,并在筛查条件下揭示具有临床意义的心脏病理。已经提出了一种构建NESS的方法,包括将直接和反向心电学问题的解决方案“收敛”,随后将解决方案的结果可视化,以便向医生可视化地展示心脏电活动(HEA)。NESS效率的提高源于原有的ECS处理“技术流水线”:多个ECS导联的注册、ECS的预处理、ECS的多变量分析、ECS的建模和可视化。为医生提供HEA筛查和诊断的工具,在收集、处理和传递心脏信息的基础上提高HEA评估的效率;HEA建模;HEA分析结果可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Efficiency of Noninvasive Electrocardiography Screening System
The paper considers the issues of improving the efficiency of noninvasive electrocardiodiagnostic screening system (NESS) based on the registration of multiple leads of the electrocardiographic signal (ECS). The proposed methods and means of ECS processing refer to the 4th generation electrocardiography, which allows obtaining new information about cardiac processes more reliably and revealing clinically significant cardiac pathologies under screening conditions.An approach to building NESS has been proposed that consists in "convergence" of solutions of direct and inverse electrocardiology problems with subsequent visualization of the results of the solutions for a visual presentation of the heart electrical activity (HEA) to the physician. Increased efficiency of NESS is due to the original "technological pipeline" of ECS processing: registration of multiple ECS leads, pre-processing of ECS, multivariate analysis of ECS, modeling and visualization of ECS.Physicians are provided with a tool for screening and diagnostics of HEA, providing increase of efficiency of HEA assessment on the basis of collection, processing and transfer of cardiographic information; modeling of HEA; visualization of HEA analysis results.
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