The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals

Today the problem of analysis of biomedical signals with chaotic properties is an important task. Its decision is important for the recognition of signals with varying severity of non-linear component. The paper presents a method for biomedical signal processing, tapping on the pseudo-phase portrait...

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Main Authors: Karina Khachatryan, Lyudmila Manilo, Aleksei Anisimov
Format: Article
Language:English
Published: FRUCT 2017-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/fruct20/files/Kha.pdf
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author Karina Khachatryan
Lyudmila Manilo
Aleksei Anisimov
author_facet Karina Khachatryan
Lyudmila Manilo
Aleksei Anisimov
author_sort Karina Khachatryan
collection DOAJ
description Today the problem of analysis of biomedical signals with chaotic properties is an important task. Its decision is important for the recognition of signals with varying severity of non-linear component. The paper presents a method for biomedical signal processing, tapping on the pseudo-phase portrait differences from the normal rhythm of some of its violations. The algorithm is intended for medical computer systems and implemented in MATLAB software environment.
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spelling doaj.art-6bbc51371a1343fe87f33f11def57f212022-12-21T18:10:32ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372017-04-017762014615310.23919/FRUCT.2017.8071305The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signalsKarina Khachatryan0Lyudmila Manilo1Aleksei Anisimov2Saint-Petersburg State Electrotechnical University “LETI”, St. Petersburg, RussiaSaint-Petersburg State Electrotechnical University “LETI”, St. Petersburg, RussiaSaint-Petersburg State Electrotechnical University “LETI”, St. Petersburg, RussiaToday the problem of analysis of biomedical signals with chaotic properties is an important task. Its decision is important for the recognition of signals with varying severity of non-linear component. The paper presents a method for biomedical signal processing, tapping on the pseudo-phase portrait differences from the normal rhythm of some of its violations. The algorithm is intended for medical computer systems and implemented in MATLAB software environment.https://fruct.org/publications/fruct20/files/Kha.pdf pseudo-phase portraitphase planerhythmograms analysiscorrelation dimension
spellingShingle Karina Khachatryan
Lyudmila Manilo
Aleksei Anisimov
The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals
Proceedings of the XXth Conference of Open Innovations Association FRUCT
pseudo-phase portrait
phase plane
rhythmograms analysis
correlation dimension
title The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals
title_full The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals
title_fullStr The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals
title_full_unstemmed The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals
title_short The method of analysis pseudo-phase portrait in the problem of recognition of biomedical signals
title_sort method of analysis pseudo phase portrait in the problem of recognition of biomedical signals
topic pseudo-phase portrait
phase plane
rhythmograms analysis
correlation dimension
url https://fruct.org/publications/fruct20/files/Kha.pdf
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