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