Quantitative Seismocrardiographic Signal Evaluation Based on Hilbert Huang Transformation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F12%3A43915661" target="_blank" >RIV/49777513:23220/12:43915661 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Quantitative Seismocrardiographic Signal Evaluation Based on Hilbert Huang Transformation

Popis výsledku v původním jazyce

Monitoring physiological signs in noninvasive way can significantly reduce the stress impact of apparatus utilization on patients, particularly to those with a certain degree of physical limitation. However, up to now, only few devices have been proposedin the literature. One of such principle is Quantitative Seismo-cardiography examinations (QSCG). It is possible to determine heart rate and respiratory rate and moreover the important points (several amplitudes and time points) of QSCG signal components. Time-frequency domain methods, such as the wavelet transform, short-time discrete Fourier transform, matching pursuit, was usually used for this task, because the QSCG signal is quasi-stationary. The Hilbert-Huang transform was designed to process non-stationary signals (e.g. for Electro Encephalographic Signals). Therefore, it should be also suitable for processing QSCG signals as well. This paper presents results gained by Hilbert-Huang transform, which was used for QSCG signal eval

Název v anglickém jazyce

Quantitative Seismocrardiographic Signal Evaluation Based on Hilbert Huang Transformation

Popis výsledku anglicky

Monitoring physiological signs in noninvasive way can significantly reduce the stress impact of apparatus utilization on patients, particularly to those with a certain degree of physical limitation. However, up to now, only few devices have been proposedin the literature. One of such principle is Quantitative Seismo-cardiography examinations (QSCG). It is possible to determine heart rate and respiratory rate and moreover the important points (several amplitudes and time points) of QSCG signal components. Time-frequency domain methods, such as the wavelet transform, short-time discrete Fourier transform, matching pursuit, was usually used for this task, because the QSCG signal is quasi-stationary. The Hilbert-Huang transform was designed to process non-stationary signals (e.g. for Electro Encephalographic Signals). Therefore, it should be also suitable for processing QSCG signals as well. This paper presents results gained by Hilbert-Huang transform, which was used for QSCG signal eval

Druh

D - Stať ve sborníku

CEP obor

FS - Lékařská zařízení, přístroje a vybavení

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0094" target="_blank" >ED2.1.00/03.0094: Regionální inovační centrum elektrotechniky (RICE)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

2012 International Conference on Applied Electronics

ISBN

978-80-261-0038-6

ISSN

1803-7232

e-ISSN

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Počet stran výsledku

4

Strana od-do

301-304

Název nakladatele

Západočeská univerzita v Plzni

Místo vydání

Plzeň

Místo konání akce

Plzeň

Datum konání akce

5. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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