کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
408619 | 679036 | 2007 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation](/preview/png/408619.png)
Fetal electrocardiogram (FECG) extraction is a vital issue in biomedical signal processing and analysis. A promising approach is blind (semi-blind) source extraction. In this paper, we develop an objective function for extraction of temporally correlated sources. The objective function is based on the non-Gaussianity and the autocorrelations of source signals, and it contains the well-known mean squared error objective function presented by Barros and Cichocki [Extraction of specific signals with temporal structure, Neural Comput. 13(9) (2001) 1995–2003] as a special example. Minimizing the objective function, we propose a source extraction algorithm. The algorithm extracts the clearer FECG as the first extracted signal and is very robust to the estimated error of time delay. It means that the algorithm is an appealing method which obtains an accurate and reliable FECG.
Journal: Neurocomputing - Volume 70, Issues 7–9, March 2007, Pages 1574–1581