Analysis of Heart Rate Variability During Respiration

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00175902" target="_blank" >RIV/68407700:21230/10:00175902 - 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

Analysis of Heart Rate Variability During Respiration

Popis výsledku v původním jazyce

This paper deals with a problem of signal processing of heart rate variability (HRV) with emphasis on a detection of similarity between the HRV and respiration signal. Different heart rate variability tests were used to reach this goal. We also have performed tests with spontaneous respiration signals in order to compare our results. Linear (mean, standard deviation etc.) and nonlinear methods (Poincaré plot), that work in both time and frequency domain, were used. A segmentation of the breathing signaltook place within the time domain method. It gives a basic notion of normal and controlled breathing pattern and the information about a time delay of the HRV. Influence of naturalness of breathing pattern was also detected. The known fact that the HRVstay similar to previous pattern during first 20seconds of apnea phase (special respiration pattern with no breathing) was confirmed. A result of this research is a confirmation of the previous results and a basic detection of the time...

Název v anglickém jazyce

Analysis of Heart Rate Variability During Respiration

Popis výsledku anglicky

This paper deals with a problem of signal processing of heart rate variability (HRV) with emphasis on a detection of similarity between the HRV and respiration signal. Different heart rate variability tests were used to reach this goal. We also have performed tests with spontaneous respiration signals in order to compare our results. Linear (mean, standard deviation etc.) and nonlinear methods (Poincaré plot), that work in both time and frequency domain, were used. A segmentation of the breathing signaltook place within the time domain method. It gives a basic notion of normal and controlled breathing pattern and the information about a time delay of the HRV. Influence of naturalness of breathing pattern was also detected. The known fact that the HRVstay similar to previous pattern during first 20seconds of apnea phase (special respiration pattern with no breathing) was confirmed. A result of this research is a confirmation of the previous results and a basic detection of the time...

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/GD102%2F08%2FH008" target="_blank" >GD102/08/H008: Analýza a modelování biomedicínských a řečových signálů</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

Technical Computing Bratislava 2010

ISBN

978-80-970519-0-7

ISSN

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e-ISSN

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Počet stran výsledku

3

Strana od-do

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Název nakladatele

RT systems, s.r.o

Místo vydání

Bratislava

Místo konání akce

Bratislava

Datum konání akce

20. 10. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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