Fetal ECG Sensing System

Fetal ECG monitoring is a critical health indicators by accessing to the physiological state in fetal growth stages. However, two common problems when sensing Fetal ECG (FECG) signal are the sensing technology of fetal ECG signal and the interference by maternal ECG (MECG) signal. The sensing technology of fetal ECG singal mainly includes: traditional wet and dry contact technology and noval non-contact body sensors. While, the fetal ECG extraction algorithm mainly includes: matched filter, adaptive noise cancellation, wavelet transform, principal component analysis, blind signal processing algorithms and independent component analysis algorithm, etc. Therefore, it is select a sensing technology for the sensitive fetal ECG sensing and use a suitable fetal ECG extraction algorithm for unambiguous fetal ECG sensing.For the reasons mentioned above, in this thesis, an EPIC sensor is selected for the sensitive fetal ECG sensing after comparison of fetal ECG sensing technology and the Torkkola’s feedback network is used for unambiguous fetal ECG sensing during the research of fetal ECG processing algorithms.The structure of the thesis is organized as follows:Firstly, introduce the fetal ECG sensing technology including traditional wet and dry contact technology and noval non-contact body sensors.Secondly, elaborate fetal ECG signal preprocessing algorithms during the preprpcessing of ragged fetal ECG signal and analysis the fetal ECG separation algorithms.Thirdly, select the the Torkkokla feedback network for fetal ECG separation by making derivation, simulation and acceleration of the Torkkola feedback network.Finally, elaborate fetal ECG sensing system and propose a wearable fetal ECG sensing system vista.