心电图pqrst复合物元素的测定方法

Olga Anatolyevna Mashkova, Vsevolod Vladislavovich Shaklein, Y. Markin, E. Karpulevich, V. Ananev, A. Asatryan, Shagane Tigranovna Tigranyan, Sergej Nikolaevich Skorik, Denis Yuryevich Turdakov
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引用次数: 0

摘要

心电图(ECG)是最常见的医学检查之一。12通道心电图的高质量解释对后续诊断和治疗非常重要。破译心电图的一个重要步骤是确定PQRST复合体元素的边界。本文讨论了确定P、T波和QRS复合体边界以及R、P、T峰的数学方法,指出了确定PQRST复合体元素的数学方法的不足。并给出了训练pqrst复合体的神经网络分割模型所得到的度量值。所进行的实验表明,使用神经网络和组合方法来分析PQRST复合物的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods for determining the elements of the PQRST-complex of the electrocardiogram
An electrocardiogram (ECG) is one of the most common medical examinations. High-quality interpretation of a 12-channel electrocardiogram is important for subsequent diagnosis and treatment. One of the important steps in deciphering an ECG is to determine the boundaries of the elements of the PQRST complex. The article discusses mathematical methods for determining the boundaries of the P, T waves and the QRS complex, as well as the R, P and T peaks, presents the shortcomings of mathematical methods for determining the elements of the PQRST complex. And also the values ​​of the metrics obtained as a result of training the neural network segmentation model of the PQRST-complex are given. The experiments performed show the relevance of using neural network and combined approaches to the analysis of the PQRST complex.
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