Document Detail


Constrained subspace ICA based on mutual information optimization directly.
MedLine Citation:
PMID:  18085983     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We introduce a new approach to constrained independent component analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual information terms directly. As an estimate of mutual information, a robust version of the Edgeworth expansion is used, on which gradient descent is performed. As an application, we consider the extraction of both the mother and the fetal antepartum electrocardiograms (ECG) from multielectrode cutaneous recordings on the mother's thorax and abdomen.
Authors:
Marc M Van Hulle
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Neural computation     Volume:  20     ISSN:  0899-7667     ISO Abbreviation:  Neural Comput     Publication Date:  2008 Apr 
Date Detail:
Created Date:  2008-02-25     Completed Date:  2008-05-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9426182     Medline TA:  Neural Comput     Country:  United States    
Other Details:
Languages:  eng     Pagination:  964-73     Citation Subset:  IM    
Affiliation:
K. U. Leuven, Laboratorium voor Neuroen Psychofysiologie, B-3000 Leuven, Belgium. marc@neuro.kuleuven.be
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MeSH Terms
Descriptor/Qualifier:
Abdomen
Algorithms*
Electrocardiography / methods*
Electrodes
Electrophysiology / methods*
Female
Fetal Monitoring / methods
Humans
Pregnancy
Signal Processing, Computer-Assisted*
Thorax

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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