A supervised ICA algorithm for fetal ECG extraction

Jenho Tsao, Chao Yang Hsu, Men Tzung Lo

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

4 Scopus citations

Abstract

A new semi-blind ICA algorithm, named supervised ICA, is proposed for improving the performance of ICA in FECG extraction. A supervision signal is created for assisting the usual ICA algorithm to find the desired FECG unambiguously. It is different from other semi-blind ICA algorithms in that the a priori information about the temporal structure of the desired signal is encoded in the supervision signal, instead of the object function. Performances of the new algorithm are demonstrated by real data processing. High quality FECG can be extracted from the multi-channel abdominal signals.

Original languageEnglish
Title of host publicationISSNIP 2008 - Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Pages327-330
Number of pages4
DOIs
StatePublished - 2008
Event2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008 - Sydney, NSW, Australia
Duration: 15 Dec 200818 Dec 2008

Publication series

NameISSNIP 2008 - Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Conference

Conference2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008
Country/TerritoryAustralia
CitySydney, NSW
Period15/12/0818/12/08

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