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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F12%3A86083669%21RIV13-MSM-27240___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
This article deals with utilization of the combination of the fuzzy system and artificial intelligence techniques, called the Adaptive Neuro Fuzzy Inference System ANFIS, with the aim to refine the diagnostic quality of the abdominal fetal electrocardiogram FECG. Within the scope of the experiments carried out and based on the ANFIS structure the authors created a complex system for removing the undesirable mother’s MECG degrading the abdominal FECG. Current research shows that the application of the conventional systems for enhancing the diagnostic quality of the abdominal FECG faces a series of problems (e.g. non-linear character of the task to solve, computational complexity of RLS algorithms, etc.). The need for a higher diagnostic quality of the abdominal FECG is reflected in the authors’ intention to utilize the designed system for the latest intrapartum monitoring method, called ST analysis. In terms of this advanced method, the aspect subjected to a diagnostic analysis is the ST segment of the FECG curve. The results indicate that the system utilizing ANFIS shows better experimental results than the conventional systems based on the LMS or RLS adaptive algorithms. The proposed adaptive system aims to clear any doubts in evaluation of the results of ST analysis while using a non-invasive method of external monitoring. This article deals with utilization of the combination of the fuzzy system and artificial intelligence techniques, called the Adaptive Neuro Fuzzy Inference System ANFIS, with the aim to refine the diagnostic quality of the abdominal fetal electrocardiogram FECG. Within the scope of the experiments carried out and based on the ANFIS structure the authors created a complex system for removing the undesirable mother’s MECG degrading the abdominal FECG. Current research shows that the application of the conventional systems for enhancing the diagnostic quality of the abdominal FECG faces a series of problems (e.g. non-linear character of the task to solve, computational complexity of RLS algorithms, etc.). The need for a higher diagnostic quality of the abdominal FECG is reflected in the authors’ intention to utilize the designed system for the latest intrapartum monitoring method, called ST analysis. In terms of this advanced method, the aspect subjected to a diagnostic analysis is the ST segment of the FECG curve. The results indicate that the system utilizing ANFIS shows better experimental results than the conventional systems based on the LMS or RLS adaptive algorithms. The proposed adaptive system aims to clear any doubts in evaluation of the results of ST analysis while using a non-invasive method of external monitoring.
dcterms:title
Refining the diagnostic quality of the abdominal fetal electrocardiogram using the techniques of artificial intelligence. Refining the diagnostic quality of the abdominal fetal electrocardiogram using the techniques of artificial intelligence.
skos:prefLabel
Refining the diagnostic quality of the abdominal fetal electrocardiogram using the techniques of artificial intelligence. Refining the diagnostic quality of the abdominal fetal electrocardiogram using the techniques of artificial intelligence.
skos:notation
RIV/61989100:27240/12:86083669!RIV13-MSM-27240___
n12:predkladatel
n14:orjk%3A27240
n3:aktivita
n16:P
n3:aktivity
P(LH12183)
n3:cisloPeriodika
12b/2012
n3:dodaniDat
n15:2013
n3:domaciTvurceVysledku
n6:8538689 n6:5156599
n3:druhVysledku
n13:J
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
164537
n3:idVysledku
RIV/61989100:27240/12:86083669
n3:jazykVysledku
n8:eng
n3:klicovaSlova
ANFIS, FECG, MECG, ST analysis.
n3:klicoveSlovo
n9:FECG n9:MECG n9:ANFIS n9:ST%20analysis.
n3:kodStatuVydavatele
PL - Polská republika
n3:kontrolniKodProRIV
[4D9BCC2B8738]
n3:nazevZdroje
Przeglad elektrotechniczny
n3:obor
n11:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n7:LH12183
n3:rokUplatneniVysledku
n15:2012
n3:svazekPeriodika
R. 88
n3:tvurceVysledku
Žídek, Jan Martinek, Radek
n3:wos
000314689600046
s:issn
0033-2097
s:numberOfPages
6
n18:organizacniJednotka
27240