Adaptive Signal Processing Techniques for Extracting Abdominal Fetal Electrocardiogram
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098259" target="_blank" >RIV/61989100:27240/16:86098259 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/profile/Radek_Martinek2/publication/308568311_Adaptive_signal_processing_techniques_for_extracting_abdominal_fetal_electrocardiogram/links/57eca42508ae93b7fa959a4c.pdf" target="_blank" >https://www.researchgate.net/profile/Radek_Martinek2/publication/308568311_Adaptive_signal_processing_techniques_for_extracting_abdominal_fetal_electrocardiogram/links/57eca42508ae93b7fa959a4c.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CSNDSP.2016.7573974" target="_blank" >10.1109/CSNDSP.2016.7573974</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive Signal Processing Techniques for Extracting Abdominal Fetal Electrocardiogram
Original language description
The extraction of the Fetal Electrocardiogram (fECG) from the composite Electrocardiogram (ECG) signal obtained from the abdominal lead is discussed. The main point of this paper is to introduce some of the most used Least Mean Squares (LMS) based Finite Impulse Response (FIR) Adaptive Filters and to determine which of them are the most effective under varying circumstances. Experimental results suggest the ideal combination of the chosen settings for these functions. Results of fECG extraction are assessed by Percentage Root-Mean-Square Difference (PRD), input and output Signal to Noise Ratios (SNRs), and Root Mean Square Error (RMSE). Based on simulations conclusions, optimal convergence constant value and filter order were empirically determined. Setting the optimal value of the convergence constant and filter order of adaptive algorithm can be considered a contribution to original results. These results can be used on real records fECG, where it is difficult to determine because of the missing reference.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 10TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING (CSNDSP)
ISBN
978-1-5090-2526-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
NEW YORK
Event location
Prague
Event date
Jul 20, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000386781300078