An efficient semi-blind source extraction algorithm and its applications to biomedical signal extraction

作者：Ye YaLan^*; Sheu, Phillip C Y; Zeng JiaZhi; Wang Gang; Lu Ke

来源：Science in China - Series F: Information Sciences , 2009, 52(10): 1863-1874.

DOI：10.1007/s11432-009-0163-0

• blind source extraction
• blind source separation
• independent component analysis
• electrocardiogram
• fetal ECG
• Atrial Fibrillation

In many applications, such as biomedical engineering, it is often required to extract a desired signal instead of all source signals. This can be achieved by blind source extraction (BSE) or semi-blind source extraction, which is a powerful technique emerging from the neural network field. In this paper, we propose an efficient semi-blind source extraction algorithm to extract a desired source signal as its first output signal by using a priori information about its kurtosis range. The algorithm is robust to outliers and spiky noise because of adopting a classical robust contrast function. And it is also robust to the estimation errors of the kurtosis range of the desired signal providing the estimation errors are not large. The algorithm has good extraction performance, even in some poor situations when the kurtosis values of some source signals are very close to each other. Its convergence stability and robustness are theoretically analyzed. Simulations and experiments on artificial generated data and real-world data have confirmed these results.

• 出版日期2009-10
• 单位电子科技大学