Fetal ECG Extraction Based on Adaptive Neuro-Fuzzy Interference System
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fetal ECG Extraction Based on Adaptive Neuro-Fuzzy Interference System
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Fetal ECG Extraction Based on Adaptive Neuro-Fuzzy Interference System
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2016 10TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING (CSNDSP)
ISBN
978-1-5090-2526-8
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
"nestrankovano"
Název nakladatele
IEEE
Místo vydání
NEW YORK
Místo konání akce
Prague
Datum konání akce
20. 7. 2016
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000386781300077