Title :
Variable Step-size Extraction Algorithm for Extracting Fetal Electrocardiogram
Author :
Zhang, Zhi-Lin ; Yi, Zhang
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
This paper proposes an algorithm for extracting the fetal electrocardiogram (FECG), which exploits the time structure and high-order statistics of the FECG. To accelerate the convergence, a variable step-size strategy is adopted. Compared with the Barros´s algorithm, the proposed algorithm can rapidly obtain clearer FECGs. The validity and performance of the algorithm is confirmed by computer simulations and experiments on real-world data
Keywords :
electrocardiography; feature extraction; medical signal processing; obstetrics; fetal electrocardiogram; high-order statistics; time structure; variable step-size extraction algorithm; Acceleration; Computational intelligence; Computer science; Convergence; Data mining; Delay effects; Laboratories; Noise level; Source separation; Statistics;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614649
