Fetal heart rrate processing based on adaptive least mean squared algorithm
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Fetal heart rrate processing based on adaptive least mean squared algorithm
Original language description
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 )
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EE2.3.20.0217" target="_blank" >EE2.3.20.0217: The Development of Excellence of the Telecommunication Research Team in Relation to International Cooperation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 40th International Conference on Telecommunications and Signal Processing, TSP 2017
ISBN
978-1-5090-3982-1
ISSN
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e-ISSN
neuvedeno
Number of pages
5
Pages from-to
415-419
Publisher name
IEEE
Place of publication
Piscataway
Event location
Barcelona
Event date
Jul 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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