Journal
SENSORS
Volume 19, Issue 3, Pages -Publisher
MDPI
DOI: 10.3390/s19030446
Keywords
fetal electrocardiogram (ECG); wearable ECG collector; non-invasive monitoring; Android smartphone; fast fixed-point algorithm for independent component analysis (FastICA)
Funding
- National Natural Science Foundation of China [71661167001, 61871005, 11804013, 61801312]
- Beijing Natural Science Foundation [4184081]
- International Research Cooperation Seed Fund of Beijing University of Technology [2018A15]
- Intelligent Physiological Measurement and Clinical Translation, Beijing International Base for Scientific and Technological Cooperation
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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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