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Fetal heart rate estimation using fractional Fourier transform and wavelet analysis

Jaba Deva Krupa Abel, Dhanalakshmi Samiappan, Sanjana N.L., Manivannan Naveen, Kumar Ramamoorthy, Tripathy Saswati

Biocybernetics and Biomedical Engineering

2021

Vol. 41, no. 4

1533--1547

Objective: Monitoring fetal cardiac activity during pregnancy is a critical part of assessing the fetus’s health. Non-invasive fetal electrocardiogram (NIFECG) is a safe emerging fetal cardiac monitoring approach receiving considerable interest. This paper proposes an effective way to separate the fetal ECG signal from the single-channel abdominal ECG signals. Methods: The paper proposes a novel algorithm based on time-frequency analysis combining fractional Fourier transform (FrFT) and wavelet analysis to extract fetal ECG from abdominal signals at higher accuracy. The abdominal signals acquired from pregnant women are preprocessed and subjected to suppressing maternal ECG using fractional Fourier transform and maximum likelihood estimate. The estimated maternal signal is removed from the abdominal ECG. The residue is processed using wavelet decomposition to obtain a clean fetal ECG and calculate fetal heart rate. Results: The proposed algorithm’s performance is validated using signals from the Daisy database and Physionet challenge 2013 set-a dataset. Real-time signals acquired using Powerlab data acquisition hardware are also included for validation. The obtained results show that the proposed algorithm can effectively extract the fetal ECG and accurately estimate the fetal heart rate. Conclusion: The proposed method is a promising and straightforward algorithm for FECG extraction. Fractional Fourier transform maps the time domain abdominal signal into the fractional frequency domain, distinguishing the fetal and maternal ECG. The Wavelet transform can efficiently denoise the residue abdominal signal and provides a clean fetal ECG. The proposed approach achieves 98.12% of accuracy, 98.85% of sensitivity, 99.16% of positive predictive value, and 99.42% of F1 measure.

A System for Improving the Diagnostic Quality of Fetal Electrocardiogram

Martinek R., Zidek J.

Przegląd Elektrotechniczny

2012

R. 88, nr 5b

164-173

This article deals with utilisation of adaptive filtration for improvement of the diagnostic quality of fetal electrocardiogram as a modern tool used in prediction of intrapartum fetal hypoxia. In the case of the latest intrapartum monitoring method, the quality of the curve of fetal electrocardiogram has a major influence on the quality of the fetal monitoring. The aspect subjected to the diagnostic analysis is the ST interval of the ECG curve. In today’s medical diagnostic technology this advanced method is only applied in internal monitoring systems. The authors of this study concentrate on external monitoring which, contrary to the classic internal monitoring, brings about a number of problems regarding the quality of recordings.

W artykule zaproponowano filtr adaptacyjny w celu poprawy jakości elektrokardiogramu płodu. Dotychczas stosowano taką metodę do wewnętrznych systemów monitorowania. Autorzy rozszerzyli tę metodę także na systemy zewnętrzne.