Title :
The methods of BSS used for extraction of FECG
Author :
Liu, Lihua ; Liu, Xiaozhi
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
In recent works, blind source separation (BSS) is arising as a promising approach to the biomedical application. From the BSS point of view, fetal electrocardiogram (FECG) extraction is achieved through the estimation of the independent sources of fetal cardiac bioelectric activity. In this contribution, a BSS method based on higher-order statistics is contrasted with a significant classical technique for fetal electrocardiogram extraction. The experimental outcome demonstrates the more robust performance of the blind technique in this important biomedical application.
Keywords :
blind source separation; electrocardiography; higher order statistics; medical signal processing; biomedical application; blind source separation; fetal cardiac bioelectric activity; fetal electrocardiogram extraction; higher-order statistics; Automation; Blind source separation; Data mining; Electrocardiography; Electrodes; Fetal heart; Independent component analysis; Intelligent control; Signal processing algorithms; Source separation; BSS; FECG; ICA;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593743