TY - JOUR
T1 - Extraction for fetal ECG using single channel blind source separation algorithm based on multi-Algorithm fusion
AU - He, Peng Ju
AU - Chen, Xiao Meng
AU - Liang, Yan
AU - Zeng, Hua Zhi
N1 - Publisher Copyright:
© Owned by the authors, published by EDP Sciences, 2016.
PY - 2016/3/8
Y1 - 2016/3/8
N2 - Nowadays, detecting fetal ECG using abdominal signal is a commonly used method, but fetal ECG signal will be affected by maternal ECG. Current FECG extraction algorithms are mainly aiming at multiple channels signal. They often assume there is only one fetus and did not consider multiple births. This paper proposed a single channel blind source separation (SCBSS) algorithm based on source number estimation using multi-Algorithm fusion to process single abdominal signal. The method decomposed collected single channel signal into multiple intrinsic mode function (IMF) utilizing Empirical Mode Decomposition (EMD), mapping single channel into multiple channels. Four multiple channel source number estimation (MCSNE) methods (Bootstrap, Hough, AIC and PCA) were weighting fused to estimate accurate source number and the particle swarm optimization algorithm (PSO) was employed to determine weighted coefficient. According to source number and IMF, nonnegative matrix was constructed and nonnegative matrix factorization (NMF) was employed to separate mixed signals. Experiments used single channel signal mixed by four man-made signals and single channel ECG mixed by two to verify the proposed algorithm. Results showed that the proposed algorithm could determine number of independent signal in single acquired signal. FECG could be extracted from single channel observed signal and the algorithm can be used to solve separation of MECG and FECG.
AB - Nowadays, detecting fetal ECG using abdominal signal is a commonly used method, but fetal ECG signal will be affected by maternal ECG. Current FECG extraction algorithms are mainly aiming at multiple channels signal. They often assume there is only one fetus and did not consider multiple births. This paper proposed a single channel blind source separation (SCBSS) algorithm based on source number estimation using multi-Algorithm fusion to process single abdominal signal. The method decomposed collected single channel signal into multiple intrinsic mode function (IMF) utilizing Empirical Mode Decomposition (EMD), mapping single channel into multiple channels. Four multiple channel source number estimation (MCSNE) methods (Bootstrap, Hough, AIC and PCA) were weighting fused to estimate accurate source number and the particle swarm optimization algorithm (PSO) was employed to determine weighted coefficient. According to source number and IMF, nonnegative matrix was constructed and nonnegative matrix factorization (NMF) was employed to separate mixed signals. Experiments used single channel signal mixed by four man-made signals and single channel ECG mixed by two to verify the proposed algorithm. Results showed that the proposed algorithm could determine number of independent signal in single acquired signal. FECG could be extracted from single channel observed signal and the algorithm can be used to solve separation of MECG and FECG.
KW - Empirical mode decomposition
KW - Fetal ECG
KW - Multi-Algorithm weighting fusion
KW - Nonnegative matrix factorization
KW - Single channel blind source separation
UR - http://www.scopus.com/inward/record.url?scp=84963593618&partnerID=8YFLogxK
U2 - 10.1051/matecconf/20164401026
DO - 10.1051/matecconf/20164401026
M3 - 会议文章
AN - SCOPUS:84963593618
SN - 2261-236X
VL - 44
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 01026
T2 - 2016 International Conference on Electronic, Information and Computer Engineering, ICEICE 2016
Y2 - 26 April 2016 through 27 April 2016
ER -