Mobile FOG Architecture Assisted Continuous Acquisition of Fetal ECG Data for Efficient Prediction

Electrocardiogram (ECG) is a cardiac test that records the timing and strength of electrical signals primarily responsible for heartbeats. An ECG data is used to gain an insight into irregularities in the heart rhythms. A Fetal Electrocardiogram (fECG) is extracted from the abdominal electrocardiogram signal of pregnant women. This is a non-invasive method for recording fECG during the early weeks of pregnancy and is an effective diagnostic tool used by clinicians to regularly evaluate the foetus health status. The aim of this paper is to put forward architecture for continuous monitoring of fetal electrocardiogram from maternal ECG to avoid any kind of acute condition caused to the newborn child at the time of birth. The continuous acquisition of fECG will lead to a very large amount of data to send over the cloud for further examination by the doctor, this data has to be pre-processed before moving it to the cloud for a much faster and efficient evaluation. The proposed architecture along with the Healthcare 4.0 environment and mobile fog computing; will have a potential to extend, virtualize new and efficient healthcare processes for fetal health monitoring.