Libin Fang

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Independent component analysis (ICA) is a novel method developed in recent years for Blind Source Separation. In this paper, the phonocardiogram (PCG) was separated into three components by applying ICA. The basic principle of ICA was introduced in this paper. A fast and robust fixed-point algorithm for ICA was used to analyze PCG signals in this study. The(More)
About 7%o to 11%o of infant born with congenital heart defects (CHD) each year in China. It has made a serious mischance by CHD to our society and the families which suffered from CHD. Atrial septal defect (ASD) is the most incident among CHD cases. It is highly necessary to make pre-diagnosis by digital signal processing. Heart sounds provide physiological(More)
Heart sounds are highly valuable to cardiovascular diseases in clinical diagnoses. So the analysis of phonocardiogram (PCG) is helpful in the field. It is significant to position heart sounds in time domain accurately and automatically. A time-frequency transformation based on matching pursuit method (MPM) is developed for the PCG. The method was applied to(More)
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