Next Article in Journal
Direct Electrochemical Detection of Glutamate, Acetylcholine, Choline, and Adenosine Using Non-Enzymatic Electrodes
Next Article in Special Issue
Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths
Previous Article in Journal
A Point-of-Care Device for Molecular Diagnosis Based on CMOS SPAD Detectors with Integrated Microfluidics
Previous Article in Special Issue
Capturing Electrocardiogram Signals from Chairs by Multiple Capacitively Coupled Unipolar Electrodes
Open AccessArticle

A Fetal ECG Monitoring System Based on the Android Smartphone

College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
*
Author to whom correspondence should be addressed.
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. View Full-Text
Keywords: fetal electrocardiogram (ECG); wearable ECG collector; non-invasive monitoring; Android smartphone; fast fixed-point algorithm for independent component analysis (FastICA) fetal electrocardiogram (ECG); wearable ECG collector; non-invasive monitoring; Android smartphone; fast fixed-point algorithm for independent component analysis (FastICA)
Show Figures

Figure 1

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 Style

Yuan, 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

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop