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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| Format: | Article |
| Language: | English |
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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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| _version_ | 1832574179900129280 |
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| author | M. L. Ivanov D. K. Avdeeva М. М. Yuzhakov S. А. Rybalka Guo Wenjia I. V. Maksimov M. V. Balakhonova |
| author_facet | M. L. Ivanov D. K. Avdeeva М. М. Yuzhakov S. А. Rybalka Guo Wenjia I. V. Maksimov M. V. Balakhonova |
| author_sort | M. L. Ivanov |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9d6831904bc141e4ac913d79b859df1e |
| institution | Kabale University |
| issn | 1813-8225 2541-7541 |
| language | English |
| publishDate | 2020-09-01 |
| publisher | Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education |
| record_format | Article |
| series | Омский научный вестник |
| spelling | doaj-art-9d6831904bc141e4ac913d79b859df1e2025-02-02T00:33:46ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412020-09-014 (172)747910.25206/1813-8225-2020-172-74-79Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensorsM. L. Ivanov0https://orcid.org/0000-0002-3039-2805D. K. Avdeeva1https://orcid.org/0000-0002-4696-3756М. М. Yuzhakov2https://orcid.org/0000-0001-9642-602XS. А. Rybalka3https://orcid.org/0000-0003-0222-2371Guo Wenjia4https://orcid.org/0000-0003-4321-1038 I. V. Maksimov5https://orcid.org/0000-0003-0367-1654M. V. Balakhonova6https://orcid.org/0000-0001-5906-607XTomsk Polytechnic UniversityTomsk Polytechnic UniversityTomsk Polytechnic UniversityTomsk Polytechnic UniversityTomsk Polytechnic UniversityTomsk National Research Medical Center of the Russian Academy of SciencesSiberian State Medical UniversityThe 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.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..pdfqrs complex detectionecg analysisadaptive filtering |
| spellingShingle | M. L. Ivanov D. K. Avdeeva М. М. Yuzhakov S. А. Rybalka Guo Wenjia I. V. Maksimov M. V. Balakhonova Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensors Омский научный вестник qrs complex detection ecg analysis adaptive filtering |
| title | Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensors |
| title_full | Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensors |
| title_fullStr | Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensors |
| title_full_unstemmed | Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensors |
| title_short | Methods of program analysis of high-resolution electrocardiogram recorded using hardware-software complex based on nanosensors |
| title_sort | methods of program analysis of high resolution electrocardiogram recorded using hardware software complex based on nanosensors |
| topic | qrs complex detection ecg analysis adaptive filtering |
| url | 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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