Implementation of MATLAB Modular Processing System for Biological Signalsy
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244258" target="_blank" >RIV/61989100:27240/19:10244258 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S2405896319326680" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896319326680</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.719" target="_blank" >10.1016/j.ifacol.2019.12.719</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Implementation of MATLAB Modular Processing System for Biological Signalsy
Popis výsledku v původním jazyce
A biological signal is a weak signal, so it is necessary to find new or improve methods of its processing. The paper proposes the implementation of the modular signal processing system for processing and further analysis of the most commonly used biological signals in diagnostics, such as electrocardiogram, electromyogram, electroencephalogram, phonocardiogram or pulse wave but it is possible to employ it also in other signal processing areas. Based on contemporary literature, a wide range of the processing and filtering methods are embedded (digital filters, adaptive filters, wavelet transform, independent and principal component analysis etc.) into user-friendly interface, serving for the testing of the accuracy and suitability of the individual techniques for the signal processing. The software is designed to ensure as greatest as possible area of the biological signal processing so that basic modifications or analysis of any one-dimensional biological signal can be made. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Název v anglickém jazyce
Implementation of MATLAB Modular Processing System for Biological Signalsy
Popis výsledku anglicky
A biological signal is a weak signal, so it is necessary to find new or improve methods of its processing. The paper proposes the implementation of the modular signal processing system for processing and further analysis of the most commonly used biological signals in diagnostics, such as electrocardiogram, electromyogram, electroencephalogram, phonocardiogram or pulse wave but it is possible to employ it also in other signal processing areas. Based on contemporary literature, a wide range of the processing and filtering methods are embedded (digital filters, adaptive filters, wavelet transform, independent and principal component analysis etc.) into user-friendly interface, serving for the testing of the accuracy and suitability of the individual techniques for the signal processing. The software is designed to ensure as greatest as possible area of the biological signal processing so that basic modifications or analysis of any one-dimensional biological signal can be made. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
IFAC-PapersOnLine. Volume 52, Issue 27
ISBN
—
ISSN
2405-8963
e-ISSN
—
Počet stran výsledku
9
Strana od-do
536-544
Název nakladatele
Elsevier
Místo vydání
Amsterdam
Místo konání akce
Vysoké Tatry
Datum konání akce
29. 10. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000507495200090