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

DOI10.1016/J.CAM.2008.01.031zbMath1148.92027OpenAlexW2170205626MaRDI QIDQ953403

Chonghui Guo, Hongjuan Zhang, Zhen-wei Shi, En-Min Feng

Publication date: 20 November 2008

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2008.01.031

zbMATH Keywords

constrained optimizationfixed-point algorithmindependent components analysis

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Hybrid linear and nonlinear complexity pursuit for blind source separation

Uses Software

• FastICA
• Daisy
• ICALAB

Cites Work

• Topographic independent component analysis based on fractal theory and morphology applied to texture segmentation
• Filtering by optimal projection and application to automatic artifact removal from EEG
• Fetal cardiac signal extraction from magnetocardiographic data using a probabilistic algorithm
• Independent component analysis, a new concept?
• Adaptive blind separation of independent sources: A deflation approach
• Extraction of a source from multichannel data using sparse decomposition.
• Extraction of Specific Signals with Temporal Structure
• Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals

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