Applicability of adaptive noise cancellation to fetal heart rate detection using photoplethysmography

Authors:
Edmond Zahedi;Gan Kok Beng
Affiliations:
Department of Electrical Engineering, Sharif University of Technology, 11365-9363, Tehran, Iran;Department of Electrical, Electronic and System Engineering, Faculty of Engineering, University Kebangsaan Malaysia, 43600 UKM, Selangor, Malaysia
Venue:
Computers in Biology and Medicine
Year:
2008

Citing 2
Cited 1

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Adaptive filter theory (2nd ed.)
Letters: Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction

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Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method

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Abstract

In this paper, an approach based on adaptive noise cancellation (ANC) is evaluated for extraction of the fetal heart rate using photoplethysmographic signals from the maternal abdomen. A simple optical model is proposed in which the maternal and fetal blood pulsations result in emulated signals where the lower SNR limit (fetal to maternal) is -25dB. It is shown that a recursive least-squares algorithm is capable of extracting the peaks of the fetal PPG from these signals, for typical values of maternal and fetal tissues.