DocumentCode :
3321220
Title :
Semi-Blind Fetal Electrocardiogram Extraction by Eliminating the Cross-Terms of the Wigner-Ville Representations
Author :
Cai Kun ; Xie Shengli
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
fYear :
2011
fDate :
10-12 May 2011
Firstpage :
1
Lastpage :
4
Abstract :
Blind source separation methods on time-frequency representations usually use kernel functions, like Cohen class time-frequency representations, to suppress the useless cross terms of the sources produced by the mixture operation before further processing. However, for sparse signals like maternal ECG and fetal ECG, cross-terms are not thought to be useless and interference. In this context, by introducing the cross-term of spatial Wigner-Ville distributions to the contrast function, a new semi-blind source separation method is proposed to extract fECG from the mixed abdominal signals. Experiments on real world clinical data show that the proposed method is comparable to the FastlCA.
Keywords :
Fourier transforms; Wigner distribution; blind source separation; data analysis; electrocardiography; feature extraction; medical signal processing; obstetrics; signal representation; time-frequency analysis; Cohen class time-frequency representations; FastlCA; Fourier transform; Wigner-Ville representations; blind source separation method; fetal ECG; kernel functions; mixed abdominal signals; real world clinical data; semiblind fetal electrocardiogram extraction; sparse signals; Covariance matrix; Electrocardiography; Interference; Kernel; Monitoring; Source separation; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
ISSN :
2151-7614
Print_ISBN :
978-1-4244-5088-6
Type :
conf
DOI :
10.1109/icbbe.2011.5780234
Filename :
5780234
Link To Document :
بازگشت