Methods for determining the elements of the PQRST-complex of the electrocardiogram
| Autor: | Olga Anatolyevna Mashkova, Vsevolod Vladislavovich Shaklein, Yury Vitalievich Markin, Evgeny Andreevich Karpulevich, Vladislav Valerievich Ananev, Ariana Armenovna Asatryan, Shagane Tigranovna Tigranyan, Sergej Nikolaevich Skorik, Denis Yuryevich Turdakov |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Proceedings of the Institute for System Programming of the RAS. 34:229-240 |
| ISSN: | 2220-6426 2079-8156 |
| DOI: | 10.15514/ispras-2022-34(4)-16 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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