Authors: Fasong Wang; Chengyi Ding; Linrang Zhang; Jianguang Liu; Rui Li
Addresses: National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China; China Electronics Technology Group Corporation, The 27th Research Institute, Zhengzhou 450047, China ' China Electronics Technology Group Corporation, The 27th Research Institute, Zhengzhou 450047, China ' National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China ' China Electronics Technology Group Corporation, The 27th Research Institute, Zhengzhou 450047, China ' School of Sciences, Henan University of Technology, 450001, Zhengzhou, China
Abstract: Compared with the ultrasonic measurement of fetal heart motion, the Fetal Electrocardiogram (FECG) provides clinically significant information. In this paper, novel FECG Blind Source Extraction (BSE) algorithm based on Blind Source Separation (BSS) in noise is presented. We first build the basic BSE model for FECG extraction and then based on the time structure of the FECG and maternal ECG, the FECG extraction algorithm is constructed using Second-Order Statistics (SOS). To reduce the noise influence, the algorithm using Discrete Wavelet Transformation (DWT) moves the conventional time-domain signals to the wavelet-domain and then the approximate source number is detected and the noise in FECG can be reduced. According this noise reduction procedure and SOS, the proposed robust FECG extraction algorithm is derived. The experimental outcomes demonstrate the performance of the proposed method and, in turn, verify the validity of the model in biomedical applications. The advantages and limitations of the proposed algorithm and its applications are analysed in the discussions and conclusions.
Keywords: BSS; blind source separation; ICA; independent component analysis; FECG; fetal electrocardiograms; fetal ECG; BSE; blind source extraction; DWT; discrete wavelet transform; fetal heart motion.
International Journal of Biomedical Engineering and Technology, 2012 Vol.10 No.2, pp.199 - 209
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 01 Oct 2012 *