DocumentCode :
3747098
Title :
Fetal ECG extraction using hybrid BSS techniques
Author :
Luis Sarmiento;Alberto Gonz?lez;Jos? Millet
Author_Institution :
Unidades Tecnol?gicas de Santander, Bucaramanga, Colombia
fYear :
2015
Firstpage :
141
Lastpage :
144
Abstract :
In the task of extracting the fetal ECG from abdominal ECG, often blind source separation is used as an intermediate step. To solve this problem is generally employed PCA and ICA. The COMBI and MULTI-COMBI algorithms offer novel schemes for combining PCA and ICA, enabling exploit the strengths of both techniques. In this work, the performance of the algorithms COMBI, MULTICOMBI, EFICA and traditional JADE algorithm are compared. We used a semi-synthetic database. In all case, it is found that the COMBI and MULTICOMBI algorithms show better performance than the JADE, and EFICA algorithms.
Keywords :
"Signal to noise ratio","Signal processing algorithms","Databases","Blind source separation","Electrocardiography","Algorithm design and analysis","White noise"
Publisher :
ieee
Conference_Titel :
Computing in Cardiology Conference (CinC), 2015
ISSN :
2325-8861
Print_ISBN :
978-1-5090-0685-4
Electronic_ISBN :
2325-887X
Type :
conf
DOI :
10.1109/CIC.2015.7408606
Filename :
7408606
Link To Document :
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