Indexed by:
Abstract:
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.
Keyword:
Reprint Author's Address:
Email:
Source :
SENSORS
ISSN: 1424-8220
Year: 2019
Issue: 3
Volume: 19
3 . 9 0 0
JCR@2022
ESI Discipline: CHEMISTRY;
ESI HC Threshold:166
JCR Journal Grade:2
Cited Count:
WoS CC Cited Count: 32
SCOPUS Cited Count: 37
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 8
Affiliated Colleges: