Semi-blind source extraction algorithm for fetal electrocardiogram based on generalized autocorrelations and reference signals

Authors:
Hongjuan Zhang;Zhenwei Shi;Chonghui Guo;Enmin Feng
Affiliations:
Department of Applied Mathematics, Dalian University of Technology, Dalian 116024, PR China;Image Processing Center, School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100083, PR China;Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, PR China;Department of Applied Mathematics, Dalian University of Technology, Dalian 116024, PR China
Venue:
Journal of Computational and Applied Mathematics
Year:
2009

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Abstract

Blind source extraction (BSE) has become one of the promising methods in the field of signal processing and analysis, which only desires to extract ''interesting'' source signals with specific stochastic property or features so as to save lots of computing time and resources. This paper addresses BSE problem, in which desired source signals have some available reference signals. Based on this prior information, we develop an objective function for extraction of temporally correlated sources. Maximizing this objective function, a semi-blind source extraction fixed-point algorithm is proposed. Simulations on artificial electrocardiograph (ECG) signals and the real-world ECG data demonstrate the better performance of the new algorithm. Moreover, comparisons with existing algorithms further indicate the validity of our new algorithm, and also show its robustness to the estimated error of time delay.