Detection of fetal arrhythmias in non-invasive fetal ECG recordings using data-driven entropy profiling

E Keenan; C Karmakar; RK Udhayakumar; FC Brownfoot; I Lakhno; V Shulgin; JA Behar; M Palaniswami

Journal article

Detection of fetal arrhythmias in non-invasive fetal ECG recordings using data-driven entropy profiling

E Keenan, C Karmakar, RK Udhayakumar, FC Brownfoot, I Lakhno, V Shulgin, JA Behar, M Palaniswami

Physiological Measurement | IOP Publishing Ltd | Published : 2022

DOI: 10.1088/1361-6579/ac4e6d

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Abstract

Objective. Fetal arrhythmias are a life-threatening disorder occurring in up to 2% of pregnancies. If identified, many fetal arrhythmias can be effectively treated using anti-arrhythmic therapies. In this paper, we present a novel method of detecting fetal arrhythmias in short length non-invasive fetal electrocardiography (NI-FECG) recordings. Approach. Our method consists of extracting a fetal heart rate time series from each NI-FECG recording and computing an entropy profile using a data-driven range of the entropy tolerance parameter r. To validate our approach, we apply our entropy profiling method to a large clinical data set of 318 NI-FECG recordings. Main Results. We demonstrate that ..

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University of Melbourne Researchers

Emerson Keenan Author

Fiona Brownfoot Author

Marimuthu Palaniswami Author

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Grants

Awarded by Australian Research Council

Funding Acknowledgements

Fiona Brownfoot is supported by aNHMRCEarly Career Fellowship (NHMRC#1142636) and a Norman Beischer Clinical Research Fellowship. Emerson Keenan is supported by a University of Melbourne Department of Obstetrics and Gynaecology Early Career Fellowship. This work was supported by the Australian Research Council (ARC) Discovery Project under Grant DP190101248.