Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensors
The paper aims to consider the software methods used for detection of elements of high-resolution electrocardiographic (ECG) signals recorded using a nanosensor-based hardware and software complex. To achieve the aim, the study employed the following methods: correlation analysis, bi-directional...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2020-09-01
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| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2020/4%20(172)/74-79%20%D0%98%D0%B2%D0%B0%D0%BD%D0%BE%D0%B2%20%D0%9C.%20%D0%9B.,%20%D0%90%D0%B2%D0%B4%D0%B5%D0%B5%D0%B2%D0%B0%20%D0%94.%20%D0%9A.,%20%D0%AE%D0%B6%D0%B0%D0%BA%D0%BE%D0%B2%20%D0%9C.%20%D0%9C.%20%D0%B8%20%D0%B4%D1%80..pdf |
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| Summary: | The paper aims to consider the software methods used for
detection of elements of high-resolution electrocardiographic
(ECG) signals recorded using a nanosensor-based hardware and
software complex. To achieve the aim, the study employed the
following methods: correlation analysis, bi-directional filtering,
first-order derivative, and correction algorithms. For cases when
the automatic detection of elements was made with an error, an
additional algorithm for manual correction of QRS elements has
been developed. |
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| ISSN: | 1813-8225 2541-7541 |