2008Unpublished venueRequires access

Signal Separation for Non-invasive Monitoring of Foetal Heartbeat

Ranjan Acharyya, N.L. Scott, Eberhard Deuss, Paul D. Teal, Jurgen Flierl

Open publisher page 4 citations

Abstract

A blind source separation algorithm is successfully applied to extract foetal heartbeat from a set of acoustic data collected from pregnant women. Several different variations of Independent Component Analysis (ICA) algorithms are applied and tested with actual data and it has been observed that ICA based on maximization of cummulants has successfully separated the foetal as well as the mother’s heart beat.

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What this paper is about

A blind source separation algorithm is successfully applied to extract foetal heartbeat from a set of acoustic data collected from pregnant women. Several different variations of Independent Component Analysis (ICA) algorithms are applied and tested with actual data and it has been observed that ICA based on maximization of cummulants has successfully separated the foetal as well as the mother’s heart beat.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A blind source separation algorithm is successfully applied to extract foetal heartbeat from a set of acoustic data collected from pregnant women. Several different variations of Independent Component Analysis (ICA) algorithms are applied and tested with actual data and it has been observed that ICA based on maximization of cummulants has successfully separated the foetal as well as the mother’s heart beat.

Key concepts: Heartbeat, Independent component analysis, Blind signal separation, Source separation, Computer science, Beat (acoustics), Heart beat, Separation (statistics)

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