Integrated approach for fetal QRS detection.

IEEE Transactions on Bio-medical Engineering
J D WilsonH Preissl

Abstract

Fetal magnetocardiography provides reliable signals of the fetal heart dynamics with high temporal resolution that can be used in a clinical setting. We present a robust Hilbert transform method for extraction of the fetal heart rate. Our method may be applied to signals derived from a single channel or an array of channels. In the case of multichannel data, the channels can be combined to improve signal-to-noise ratio for the extraction of fetal heart data. The method is inherently insensitive to fetal position or movement and, in addition, can be automated. We demonstrate that the determination of R-wave timing is relatively insensitive to waveform morphology. The method can also be applied if the data were preprocessed by independent component analysis (ICA). We compared the Hilbert method, ICA, ICA + Hilbert, and raw signals and found that the Hilbert method gave the best overall performance. We demonstrated that there were approximately 171 errors in 46,789 fetal heart beats.

References

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Citations

Dec 9, 2010·Annals of Biomedical Engineering·R B GovindanH Eswaran
Aug 28, 2012·Medical Engineering & Physics·Jakub Kuzilek, Lenka Lhotska
Feb 26, 2013·Developmental Science·Jana MuenssingerHubert Preissl
Apr 8, 2015·BJOG : an International Journal of Obstetrics and Gynaecology·E C MorinI Kiefer-Schmidt
May 24, 2014·Developmental Neuropsychology·Franziska SchlegerHubert Preissl
Dec 29, 2016·BJOG : an International Journal of Obstetrics and Gynaecology·E FehlertA Fritsche
Apr 10, 2017·IEEE Journal of Biomedical and Health Informatics·Recep AvciHari Eswaran
Apr 25, 2013·Journal of Perinatal Medicine·Isabelle Kiefer-SchmidtHubert Preissl
Jun 5, 2015·Physics in Medicine and Biology·Orang AlemSvenja Knappe
Jun 14, 2019·Frontiers in Systems Neuroscience·Julia MoserHubert Preißl
Oct 31, 2020·Developmental Cognitive Neuroscience·Julia MoserHubert Preissl

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