Fetal ECG Extraction Based on Adaptive Neuro-Fuzzy Interference System

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86098257" target="_blank" >RIV/61989100:27240/16:86098257 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7573973" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7573973</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CSNDSP.2016.7573973" target="_blank" >10.1109/CSNDSP.2016.7573973</a>

Result language
angličtina
Original language name
Fetal ECG Extraction Based on Adaptive Neuro-Fuzzy Interference System
Original language description
The aim of this paper is evaluation of the best setting options for adaptive neuro-fuzzy interference system (ANFIS) in case of fetal electrocardiogram (fECG) elicitation from two ECG signals. Thoracic ECG (tECG) signal represents maternal ECG (mECG). Abdominal ECG (aECG) signal is a mixture of mECG, fECG and additive noises (e.g. power line interference, motion artifact, ambient noise.). While additive noises can be easily eliminated by ordinary linear filters, relationship between tECG and maternal component of aECG is fully nonlinear. ANFIS is able to handle this nonlinear relationship. Quality of mECG suppression by ANFIS is affected by changing ANFIS parameters, namely number of membership functions (mf), type of mf and number of epochs. The influence of each ANFIS parameter on suppression result is described in the paper. Results of fECG filtering are assessed by signal to noise ratio (SNR) and root mean square error (RMSE). Experimental results indicate that ANFIS have the potential to improve the diagnostic and monitoring quality of fECG signals while preserving their clinically important features.
Czech name
—
Czech description
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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
—
e-ISSN
—
Number of pages
6
Pages from-to
"nestrankovano"
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
000386781300077

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