Title :
FECG Extraction Based On BSS Of Sparse Signal
Author :
Shao Wenting ; Fang Bin ; Wang Pu ; Ren Mingrong
Author_Institution :
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing
Abstract :
The Electrocardiograph (ECG) signal presents the sparseness. A new method is proposed in this paper for extracting the Fetal Electrocardiograph (FECG), which uses the Blind Source Separation (BSS) theory of Sparse Signal. Both the Wavelet Analysis method and a new Vanish Circle scheme are involved in this method to avoid the influence on the signal separation, because the ECG signals are not completed sparse signals. Some experiments show that this method is very effective for FECG.
Keywords :
blind source separation; electrocardiography; medical signal processing; obstetrics; wavelet transforms; BSS; FECG extraction; Vanish circle scheme; blind source separation; fetal electrocardiograph; signal separation; sparse signal; wavelet analysis; Data mining; Electrocardiography; Fetus; Independent component analysis; Pregnancy; Signal analysis; Signal processing; Source separation; Statistical analysis; Statistics;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.693
