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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Format: | Article |
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MDPI AG
2019-01-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/19/3/446 |
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author | Li Yuan Yanchao Yuan Zhuhuang Zhou Yanping Bai Shuicai Wu |
author_facet | Li Yuan Yanchao Yuan Zhuhuang Zhou Yanping Bai Shuicai Wu |
author_sort | Li Yuan |
collection | DOAJ |
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. |
first_indexed | 2024-04-14T00:55:43Z |
format | Article |
id | doaj.art-bf70ff6618c74efdae7f017f26687986 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T00:55:43Z |
publishDate | 2019-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-bf70ff6618c74efdae7f017f266879862022-12-22T02:21:38ZengMDPI AGSensors1424-82202019-01-0119344610.3390/s19030446s19030446A Fetal ECG Monitoring System Based on the Android SmartphoneLi Yuan0Yanchao Yuan1Zhuhuang Zhou2Yanping Bai3Shuicai Wu4College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, ChinaIn 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.https://www.mdpi.com/1424-8220/19/3/446fetal electrocardiogram (ECG)wearable ECG collectornon-invasive monitoringAndroid smartphonefast fixed-point algorithm for independent component analysis (FastICA) |
spellingShingle | Li Yuan Yanchao Yuan Zhuhuang Zhou Yanping Bai Shuicai Wu A Fetal ECG Monitoring System Based on the Android Smartphone Sensors fetal electrocardiogram (ECG) wearable ECG collector non-invasive monitoring Android smartphone fast fixed-point algorithm for independent component analysis (FastICA) |
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 | fetal electrocardiogram (ECG) wearable ECG collector non-invasive monitoring Android smartphone fast fixed-point algorithm for independent component analysis (FastICA) |
url | https://www.mdpi.com/1424-8220/19/3/446 |
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