A deep learning approach for fetal QRS complex detection

Physiological Measurement
Wei ZhongGuoli Wang

Abstract

Non-invasive foetal electrocardiography (NI-FECG) has the potential to provide more additional clinical information for detecting and diagnosing fetal diseases. We propose and demonstrate a deep learning approach for fetal QRS complex detection from raw NI-FECG signals by using a convolutional neural network (CNN) model. The main objective is to investigate whether reliable fetal QRS complex detection performance can still be obtained from features of single-channel NI-FECG signals, without canceling maternal ECG (MECG) signals. A deep learning method is proposed for recognizing fetal QRS complexes. Firstly, we collect data from set-a of the PhysioNet/computing in Cardiology Challenge database. The sample entropy method is used for signal quality assessment. Part of the bad quality signals is excluded in the further analysis. Secondly, in the proposed method, the features of raw NI-FECG signals are normalized before they are fed to a CNN classifier to perform fetal QRS complex detection. We use precision, recall, F-measure and accuracy as the evaluation metrics to assess the performance of fetal QRS complex detection. The proposed deep learning method can achieve relatively high precision (75.33%), recall (80.54%), and F-measur...Continue Reading

References

Mar 1, 1985·IEEE Transactions on Bio-medical Engineering·J Pan, W J Tompkins
Jan 1, 1997·IEEE Transactions on Bio-medical Engineering·P P KanjilalG Saha
Jan 28, 1998·IEEE Transactions on Bio-medical Engineering·M RichterD T Kaplan
Jun 8, 2001·The Journal of Maternal-fetal Medicine·S B BarnettUNKNOWN International Perinatal Doppler Society
Nov 29, 2001·Journal of Perinatal Medicine·M PetersS Shakespeare
Feb 1, 2006·Computers in Biology and Medicine·Farshid Soheili NajafabadiMohd Alauddin Mohd Ali
Jul 18, 2008·IEEE Transactions on Bio-medical Engineering·Reza SameniMohammad B Shamsollahi
Jun 6, 2009·Biological Procedures Online·M A HasanJ Uddin
Dec 15, 2010·Computer Methods and Programs in Biomedicine·Ferenc KovácsGábor Hosszú
Apr 19, 2011·Lancet·Zulfiqar A BhuttaUNKNOWN Lancet's Stillbirths Series steering committee
Jul 30, 2014·Physiological Measurement·Joachim BeharGari D Clifford
Jul 30, 2014·Physiological Measurement·Gari D CliffordGeorge B Moody
Apr 14, 2016·Physiological Measurement·Fernando AndreottiGari D Clifford
Apr 14, 2016·Physiological Measurement·Joachim BeharGari D Clifford

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Citations

Sep 29, 2020·Frontiers in Pediatrics·Eleni Fotiadou, Rik Vullings
Aug 1, 2020·Physical and Engineering Sciences in Medicine·Jagdeep RahulLakhan Dev Sharma
Oct 17, 2019·Australasian Physical & Engineering Sciences in Medicine·Wei ZhongGuoli Wang
Oct 30, 2020·Frontiers in Physiology·Yongbo LiangZhencheng Chen
Jul 14, 2020·Computers in Biology and Medicine·Shenda HongJimeng Sun
May 5, 2021·Biomedizinische Technik. Biomedical Engineering·Abel Jaba Deva KrupaKumar R
Apr 15, 2021·Physiological Measurement·E FotiadouR Vullings

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