A Fetal ECG Monitoring System Based on the Android Smartphone
College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
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Sensors 2019, 19(3), 446; https://doi.org/10.3390/s19030446
Received: 20 December 2018 / Revised: 18 January 2019 / Accepted: 21 January 2019 / Published: 22 January 2019
(This article belongs to the Special Issue Wearable and Implantable Sensors and Electronics Circuits)
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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Keywords:
fetal electrocardiogram (ECG); wearable ECG collector; non-invasive monitoring; Android smartphone; fast fixed-point algorithm for independent component analysis (FastICA)
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MDPI and ACS Style
Yuan, L.; Yuan, Y.; Zhou, Z.; Bai, Y.; Wu, S. A Fetal ECG Monitoring System Based on the Android Smartphone. Sensors 2019, 19, 446. https://doi.org/10.3390/s19030446
AMA Style
Yuan L, Yuan Y, Zhou Z, Bai Y, Wu S. A Fetal ECG Monitoring System Based on the Android Smartphone. Sensors. 2019; 19(3):446. https://doi.org/10.3390/s19030446
Chicago/Turabian StyleYuan, Li; Yuan, Yanchao; Zhou, Zhuhuang; Bai, Yanping; Wu, Shuicai. 2019. "A Fetal ECG Monitoring System Based on the Android Smartphone" Sensors 19, no. 3: 446. https://doi.org/10.3390/s19030446
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