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A Fetal ECG Monitoring System Based on the Android Smartphone
In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android smartphone was proposed. We designed a portable low-power fetal ECG collector, which collected maternal abdominal ECG signals in real time. The ECG data were sent to a smartphone client via Bluetooth. Smartphone ap...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386851/ https://www.ncbi.nlm.nih.gov/pubmed/30678252 http://dx.doi.org/10.3390/s19030446 |
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author | Yuan, Li Yuan, Yanchao Zhou, Zhuhuang Bai, Yanping Wu, Shuicai |
author_facet | Yuan, Li Yuan, Yanchao Zhou, Zhuhuang Bai, Yanping Wu, Shuicai |
author_sort | Yuan, Li |
collection | PubMed |
description | In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android smartphone was proposed. We designed a portable low-power fetal ECG collector, which collected maternal abdominal ECG signals in real time. The ECG data were sent to a smartphone client via Bluetooth. Smartphone app software was developed based on the Android system. The app integrated the fast fixed-point algorithm for independent component analysis (FastICA) and the sample entropy algorithm, for the sake of real-time extraction of fetal ECG signals from the maternal abdominal ECG signals. The fetal heart rate was computed using the extracted fetal ECG signals. Experimental results showed that the FastICA algorithm can extract a clear fetal ECG, and the sample entropy can correctly determine the channel where the fetal ECG is located. The proposed fetal ECG monitoring system may be feasible for non-invasive, real-time monitoring of fetal ECGs. |
format | Online Article Text |
id | pubmed-6386851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63868512019-02-26 A Fetal ECG Monitoring System Based on the Android Smartphone Yuan, Li Yuan, Yanchao Zhou, Zhuhuang Bai, Yanping Wu, Shuicai Sensors (Basel) Article In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android smartphone was proposed. We designed a portable low-power fetal ECG collector, which collected maternal abdominal ECG signals in real time. The ECG data were sent to a smartphone client via Bluetooth. Smartphone app software was developed based on the Android system. The app integrated the fast fixed-point algorithm for independent component analysis (FastICA) and the sample entropy algorithm, for the sake of real-time extraction of fetal ECG signals from the maternal abdominal ECG signals. The fetal heart rate was computed using the extracted fetal ECG signals. Experimental results showed that the FastICA algorithm can extract a clear fetal ECG, and the sample entropy can correctly determine the channel where the fetal ECG is located. The proposed fetal ECG monitoring system may be feasible for non-invasive, real-time monitoring of fetal ECGs. MDPI 2019-01-22 /pmc/articles/PMC6386851/ /pubmed/30678252 http://dx.doi.org/10.3390/s19030446 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yuan, Li Yuan, Yanchao Zhou, Zhuhuang Bai, Yanping Wu, Shuicai A Fetal ECG Monitoring System Based on the Android Smartphone |
title | A Fetal ECG Monitoring System Based on the Android Smartphone |
title_full | A Fetal ECG Monitoring System Based on the Android Smartphone |
title_fullStr | A Fetal ECG Monitoring System Based on the Android Smartphone |
title_full_unstemmed | A Fetal ECG Monitoring System Based on the Android Smartphone |
title_short | A Fetal ECG Monitoring System Based on the Android Smartphone |
title_sort | fetal ecg monitoring system based on the android smartphone |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386851/ https://www.ncbi.nlm.nih.gov/pubmed/30678252 http://dx.doi.org/10.3390/s19030446 |
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