Title :
Fetal QRS complex detection based on three-way tensor decomposition
Author :
Niknazar, Mohammad ; Rivet, Bertrand ; Jutten, Christian
Author_Institution :
GIPSA-Lab., Univ. of Grenoble, Grenoble, France
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.
Keywords :
blind source separation; electrocardiography; medical signal detection; obstetrics; signal reconstruction; tensors; PhysioNet Challenge 2013 data; deterministic blind source separation; deterministic tensor decomposition method; fetal ECG; fetal QRS complex detection; fetal heart rates; loading matrices; maternal ECG R-peaks; maternal ECG beats; maternal ECG estimate; maternal ECG reconstruction; maternal ECG symbols; maternal heart rates; mother abdomen; multichannel ECG signals; original mixture; quasiperiodic nature; subtraction residue; symbol rates; three-dimensional array; three-way tensor decomposition; Field effect transistors; Iron; Manganese;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
Print_ISBN :
978-1-4799-0884-4