DocumentCode :
323716
Title :
Techniques for detection and classification of the fetal QRS complex
Author :
Outram, N.J. ; Ifeachor, E.C.
Author_Institution :
Sch. of Electron. Commun. & Electr. Eng., Plymouth Univ.
fYear :
1994
fDate :
34683
Firstpage :
42644
Lastpage :
42646
Abstract :
A critical process in both the fetal cardiotocogram (CTG) and fetal electrocardiogram (FECG) analysis is to determine the location of the QRS complex from the raw FECG data. Difficulties arise because the FECG signal is degraded and sometimes totally obscured by noise. Thus, to determine the location of the QRS complexes is a two stage process: pre-processing of the noisy FECG to detect candidate QRS complexes, and pattern recognition to classify these as genuine QRS complexes or noise. The authors compare an ANN technique with conventional techniques for both pre-processing and pattern recognition of the FECG
Keywords :
electrocardiography; ANN technique; FECG signal; classification; detection; fetal QRS complex; fetal cardiotocogram; fetal electrocardiogram; pattern recognition; preprocessing;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Applications of Neural Networks to Signal Processing (Digest No. 1994/248), IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
675268
Link To Document :
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