Fetal phonocardiography signal processing from abdominal records by non-adaptive methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241659" target="_blank" >RIV/61989100:27240/18:10241659 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10808/2501550/Fetal-phonocardiography-signal-processing-from-abdominal-records-by-non-adaptive/10.1117/12.2501550.short" target="_blank" >https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10808/2501550/Fetal-phonocardiography-signal-processing-from-abdominal-records-by-non-adaptive/10.1117/12.2501550.short</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2501550" target="_blank" >10.1117/12.2501550</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fetal phonocardiography signal processing from abdominal records by non-adaptive methods

Popis výsledku v původním jazyce

Fetal Phonocardiography (fPCG) is still secondary tool but provides very important information about fetal well-being that cannot be given by another fetal monitoring method. Independent Component Analysis (ICA) and Principal Component Analysis (PCA) were chosen for testing on synthetic data that are able to extract fPCG from abdominal signals. Results show that ICA and PCA could be used in clinical practice for fetal Heart Rate (fHR) monitoring, because after extraction of components it is easy to determine fHR. Signal to Noise Ratio (SNR) proved that after the extraction there was a significant improvement in estimated signal to compare with input abdominal signals. We found that ICA method works better than PCA method on this data, even though it changes the amplitude of the output components.

Název v anglickém jazyce

Fetal phonocardiography signal processing from abdominal records by non-adaptive methods

Popis výsledku anglicky

Fetal Phonocardiography (fPCG) is still secondary tool but provides very important information about fetal well-being that cannot be given by another fetal monitoring method. Independent Component Analysis (ICA) and Principal Component Analysis (PCA) were chosen for testing on synthetic data that are able to extract fPCG from abdominal signals. Results show that ICA and PCA could be used in clinical practice for fetal Heart Rate (fHR) monitoring, because after extraction of components it is easy to determine fHR. Signal to Noise Ratio (SNR) proved that after the extraction there was a significant improvement in estimated signal to compare with input abdominal signals. We found that ICA method works better than PCA method on this data, even though it changes the amplitude of the output components.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Centrum výzkumu pokročilých mechatronických systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of SPIE - The International Society for Optical Engineering. Volume 10808

ISBN

978-1-5106-2203-6

ISSN

0277-786X

e-ISSN

1996-756X

Počet stran výsledku

8

Strana od-do

—

Název nakladatele

SPIE

Místo vydání

Bellingham

Místo konání akce

Wilga

Datum konání akce

3. 6. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000450820000122