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.
Highlights
Cognitive and exercise impairment caused by fetal hypoxia during the perinatal period remains a serious health problem worldwide [1]
This paper presented a fetal ECG monitoring system based on the Android smartphone
The FastICA algorithm was used to separate the signal of each source component, and the sample entropy was used to identify the channel where the fetal ECG signal was located
Summary
Cognitive and exercise impairment caused by fetal hypoxia during the perinatal period remains a serious health problem worldwide [1]. One is the invasive scalp electrode method, which can directly measure the pure fetal ECG signal. It can only detect fetal ECG signal during birth, and because it is invasive it may cause harm to the mother and the fetus. Another method is the non-invasive abdominal electrode method. Signals from the abdominal body surface are collected by placing an electrode patch in the abdomen of the mother, which allows for long-term monitoring during pregnancy. It is necessary to develop a non-invasive method that can extract the fetal ECG effectively
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