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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Feasibility of Fetal Photoplethysmography Signal Extraction using Adaptive Noise Cancelling
verfasst von : Kok Beng Gan, E. Zahedi, M. A. Mohd Ali
Erschienen in: 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006
Verlag: Springer Berlin Heidelberg
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In this paper, an approach based on adaptive noise cancellation (ANC) is evaluated to extract the fetal heartrate using photoplethysmographic (PPG) signals from the maternal abdomen. Results of simulations using semisynthetic PPG signals are presented which show the feasibility of the proposed technique. Then a mixture of PPG signal is produced by recording the PPG from overlapping fingers from two different subjects in-lieu of the mother and fetus. Results show that a recursive least-squares algorithm is capable to extract the peaks of the desired PPG signal, hence the heartrate, even at a SNR of -34 dB.