A fixed-point algorithm for independent component analysis which uses a priori information

Allan Kardec Barros, Andrzej Cichocki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Independent component analysis is a powerful tool for separating signals from their mixtures. In this field, many algorithms have been proposed, but they poorly use a priori information in order to find the desired signal. Besides, they provide many outputs, from which we have to choose the one of interest. Here we propose a fixed point algorithm which uses a reference input to find the signal of interest. We applied the algorithm to electrocardiographic (ECG) interference cancellation. In simulations, the algorithm successfully found the desired component even if it was spectrally overlapped by the interference signals. Moreover, the algorithm was applied to an actual situation consisting of an eight channel ECG obtained from a pregnant woman. As a result, the algorithm could either obtain the ECG signal from the baby or from the mother by just changing one parameter: the fundamental frequency of the desired ECG.

Original languageEnglish
Title of host publicationProceedings - 5th Brazilian Symposium on Neural Networks, SBRN 1998
EditorsAntonio de Padua Braga, Teresa Bernarda Ludermir
PublisherIEEE Computer Society
Pages39-42
Number of pages4
ISBN (Electronic)0818686294
DOIs
Publication statusPublished - 1998
Externally publishedYes
Event5th Brazilian Symposium on Neural Networks, SBRN 1998 - Belo Horizonte, Brazil
Duration: 9 Dec 199811 Dec 1998

Publication series

NameProceedings - Brazilian Symposium on Neural Networks, SBRN
ISSN (Print)1522-4899

Conference

Conference5th Brazilian Symposium on Neural Networks, SBRN 1998
Country/TerritoryBrazil
CityBelo Horizonte
Period9/12/9811/12/98

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