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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...

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Detalles Bibliográficos
Autores principales: Yuan, Li, Yuan, Yanchao, Zhou, Zhuhuang, Bai, Yanping, Wu, Shuicai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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