Fetal heart rrate processing based on adaptive least mean squared algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238420" target="_blank" >RIV/61989100:27240/17:10238420 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85042796232&origin=resultslist&sort=plf-f&src=s&sid=4836f54a9abfda3ef055858ae39cf3f1&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857014879400%29&relpos=2&citeCnt=0&searchTerm=" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85042796232&origin=resultslist&sort=plf-f&src=s&sid=4836f54a9abfda3ef055858ae39cf3f1&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2857014879400%29&relpos=2&citeCnt=0&searchTerm=</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2017.8076018" target="_blank" >10.1109/TSP.2017.8076018</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fetal heart rrate processing based on adaptive least mean squared algorithm

Popis výsledku v původním jazyce

This paper focuses on the design and verification of an adaptive system for processing signals obtained from two interferometric measurement sensors for fetal heart rate (fHR) monitoring. Measurement sensors are realized by Mach- Zehnder fiber optic interferometers placed on chest and abdomen of pregnant women. Based on real measurements, a simplified dynamic signal model of a distribution of heartbeat sounds (HS) through human body was realized. This model allows the design, realization, and verification of the adaptive system least mean squared (LMS) algorithm. This system enables to extract fetal heart rate from a sensor placed on the abdomen, where an unwanted maternal phonocardiogram (mPCG) impairs this important signal. Standard filtration methods cannot be used because phonocardiogram of fetus and mother operate on the same frequencies. The functionality of the designed system was verified by objective parameters such as Signal Noise to Ration (SNR), Sensitivity (S+), and Positive Predictive Value (PPV )

Název v anglickém jazyce

Fetal heart rrate processing based on adaptive least mean squared algorithm

Popis výsledku anglicky

This paper focuses on the design and verification of an adaptive system for processing signals obtained from two interferometric measurement sensors for fetal heart rate (fHR) monitoring. Measurement sensors are realized by Mach- Zehnder fiber optic interferometers placed on chest and abdomen of pregnant women. Based on real measurements, a simplified dynamic signal model of a distribution of heartbeat sounds (HS) through human body was realized. This model allows the design, realization, and verification of the adaptive system least mean squared (LMS) algorithm. This system enables to extract fetal heart rate from a sensor placed on the abdomen, where an unwanted maternal phonocardiogram (mPCG) impairs this important signal. Standard filtration methods cannot be used because phonocardiogram of fetus and mother operate on the same frequencies. The functionality of the designed system was verified by objective parameters such as Signal Noise to Ration (SNR), Sensitivity (S+), and Positive Predictive Value (PPV )

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/EE2.3.20.0217" target="_blank" >EE2.3.20.0217: Rozvoj excelence vědeckovýzkumného týmu Telekomunikační techniky ve vazbě na zahraniční spolupráci</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

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017

ISBN

978-1-5090-3982-1

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

415-419

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Barcelona

Datum konání akce

5. 7. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—