Abstract
Thousands of unborn children around the globe die everyday in their mother's womb due to stillbirth. The major cause for stillbirth is the inability to non-invasively monitor the Fetal Heart Rate (FHR) continuously during pregnancy. This triggered the search for alternative Fetal monitoring techniques, namely non-invasive Fetal Electrocardiogram (FECG) monitoring. Hence, we propose a time domain analysis and Fetal R-R interval windowing approach for the non-invasive extraction of FECG from Maternal Abdominal Electrocardiogram (MAECG), which achieved an accuracy of about 96.39% when compared against the reference direct Fetal Scalp ECG, and is higher than other relevant methods discussed in this paper. This simulation is based on records from the public database - Abdominal and Direct Fetal ECG Database (ADFECGDB) from Physionet.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE Workshop on Signal Processing Systems, SiPS 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 229-234 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538663189 |
| DOIs | |
| State | Published - 31 Dec 2018 |
| Externally published | Yes |
Publication series
| Name | IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation |
|---|---|
| Volume | 2018-October |
| ISSN (Print) | 1520-6130 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- FECG
- FHR
- MAECG
- R-R interval
- non-invasive
- stillbirth
- time-frequency
- windowing
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Applied Mathematics
- Hardware and Architecture
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