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Author Niknazar, M. ♦ Rivet, B. ♦ Jutten, C.
Sponsorship IEEE Eng. Med. Biol. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Medicine & health
Subject Keyword Field effect transistors ♦ Iron ♦ Manganese
Abstract This study is focused on detection of fetal QRS complexes in multichannel ECG signals recorded from mother's abdomen, containing both fetal and maternal ECGs. Assuming different values for maternal and fetal heart rates, the proposed method relies on a deterministic tensor decomposition method, which aims at deterministic blind separation of sources having different symbol rates. In the ECG context, due to the quasi-periodic nature of ECG signal, maternal ECG R-peaks are firstly detected from the mixture to identify maternal beats as maternal ECG symbols. Then the maternal ECG beats are stacked into a three-dimensional array. Decomposition of this tensor yields three loading matrices that are now used to reconstruct the maternal ECG. The residue of subtraction of the maternal ECG estimate from the original mixture is then used to detect fetal QRS complexes. The obtained average scores of event 4 and 5 on the set B of PhysioNet Challenge 2013 data are 1514.59 and 57.01, respectively.
Description Author affiliation: GIPSA-Lab., Univ. of Grenoble, Grenoble, France (Niknazar, M.; Rivet, B.; Jutten, C.)
ISBN 9781479908844
ISSN 2325887X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-09-22
Publisher Place Spain
Rights Holder Creative Commons Attribution License 2.5 (CCAL)
e-ISBN 9781479908868
Size (in Bytes) 1.69 MB
Page Count 4
Starting Page 185
Ending Page 188


Source: IEEE Xplore Digital Library