Extraction of Fetal Heart Rate from Maternal ECG—Non Invasive Approach for Continuous Monitoring during Labor

Proceedings. 2018;2(13):1009 DOI 10.3390/proceedings2131009

 

Journal Homepage

Journal Title: Proceedings

ISSN: 2504-3900 (Print)

Publisher: MDPI AG

LCC Subject Category: General Works

Country of publisher: Switzerland

Language of fulltext: English

Full-text formats available: PDF, HTML, XML

 

AUTHORS

Tashreque Mohammed Haq (Department of Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh)
Safkat Arefin (Department of Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh)
Shamiur Rahman (Department of Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh)
Tanzilur Rahman (Department of Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 11 weeks

 

Abstract | Full Text

Here, we propose a signal processing based approach for the extraction of the fetal heart rate (FHR) from Maternal Abdominal ECG (MAECG) in a non-invasive way. Datasets from a Physionet database has been used in this study for evaluating the performance of the proposed model that performs three major tasks; preprocessing of the MAECG signal, separation of Fetal QRS complexes from that of maternal and estimation of Fetal R peak positions. The MAECG signal is first preprocessed with improved multistep filtering techniques to detect the Maternal QRS (MQRS) complexes, which are dominant in the MAECG. A reference template is then reconstructed based on MQRS locations and removed from the preprocessed signal resulting in the raw FECG. This extracted FECG is further corrected and enhanced before obtaining the Fetal R peaks. The detection of FQRS and calculation of FHR has been compared against the reference Fetal Scalp ECG. Results indicate that the approach achieved good accuracy.