Elimination of Interference in Phonocardiogram Signal Based on Wavelet Transform and Empirical Mode Decomposition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244257" target="_blank" >RIV/61989100:27240/19:10244257 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2405896319326527" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896319326527</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.703" target="_blank" >10.1016/j.ifacol.2019.12.703</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Elimination of Interference in Phonocardiogram Signal Based on Wavelet Transform and Empirical Mode Decomposition

Popis výsledku v původním jazyce

The recording of the phonocardiogram (PCG) signal is an important biological index in the diagnosis and treatment in the area of cardiac diseases and disorders. However, the signal is often corrupted by the wide range of artifacts which affect the quality of the PCG waveform and complicate the process of the diagnosis determination. The study focuses on the well-known signal processing approaches (wavelet transform and empirical mode decomposition) used for elimination of the overlapping interference in PCG signal and evaluates the accuracy of methods by assessment of the power of the remaining noise and comparing a filtered PCG signal with an original one based on correlation and Bland-Altman analysis. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Název v anglickém jazyce

Elimination of Interference in Phonocardiogram Signal Based on Wavelet Transform and Empirical Mode Decomposition

Popis výsledku anglicky

The recording of the phonocardiogram (PCG) signal is an important biological index in the diagnosis and treatment in the area of cardiac diseases and disorders. However, the signal is often corrupted by the wide range of artifacts which affect the quality of the PCG waveform and complicate the process of the diagnosis determination. The study focuses on the well-known signal processing approaches (wavelet transform and empirical mode decomposition) used for elimination of the overlapping interference in PCG signal and evaluates the accuracy of methods by assessment of the power of the remaining noise and comparing a filtered PCG signal with an original one based on correlation and Bland-Altman analysis. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IFAC-PapersOnLine. Volume 52, Issue 27

ISBN

—

ISSN

2405-8963

e-ISSN

—

Počet stran výsledku

6

Strana od-do

440-445

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

000507495200074