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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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 19; H. 3; S. 446
Hauptverfasser:	Yuan, Li, Yuan, Yanchao, Zhou, Zhuhuang, Bai, Yanping, Wu, Shuicai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI 22.01.2019 MDPI AG
Schlagworte:	Android smartphone fast fixed-point algorithm for independent component analysis (FastICA) fetal electrocardiogram (ECG) non-invasive monitoring wearable ECG collector fetal electrocardiogram (ECG) non-invasive monitoring wearable ECG collector fast fixed-point algorithm for independent component analysis (FastICA) Android smartphone
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1424-8220 1424-8220
DOI:	10.3390/s19030446