Title :
A method for extracting fecg based on ICA algorithm
Author :
Wan, Hong ; Liu, Qingxin ; Chai, Jing
Author_Institution :
Coll. of Electr. Eng., Zhengzhou Univ., Zhengzhou
Abstract :
In order to extract the purer fetal ECG accurately, a BSS method based on higher-order statistics is contrasted with a significant classical technique for FECG extraction. The fast ICA algorithm and infomax ICA algorithm are used for FECG extraction. They were applied to multichannel ECG recording obtained from a pregnant woman. It was observed that both algorithms were able to extract the fetal ECG. But the experiment outcomes demonstrate that the better performance is fast-ICA algorithm in the biomedical application. This method has been proved to be able to extract the desired fetal heart beat signal from the composite abdominal signal.
Keywords :
blind source separation; electrocardiography; higher order statistics; independent component analysis; medical signal processing; BSS method; composite abdominal signal; fast ICA algorithm; fetal electrocardiogram extraction; fetal heart beat signal; higher-order statistics; infomax ICA algorithm; pregnant woman; Abdomen; Biomedical measurements; Blood; Educational institutions; Electrocardiography; Electrodes; Fetus; Heart beat; Independent component analysis; Source separation;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697720