Fetal ECG Extraction Using Wavelet and Adaptive Filtering Techniques

Vol. 4  Issue 2
Year:2016
Issue:Apr-Jun
Title:Fetal ECG Extraction Using Wavelet and Adaptive Filtering Techniques
Author Name:K. Purushotham Prasad and B. Anuradha
Synopsis:
The electrocardiogram (ECG) signal is a graphical recording of the electrical potentials generated in association with heart activity, which is one of the many important physiological signals commonly used in clinical practice. The wellbeing and status of a fetus can be accessed from a fetal ECG signal. Detecting and analysing the fetal ECG is the primary objective of electronic fetal monitoring. This paper presents a method to separate fetal ECG signals from the maternal abdomen. The method is general and is able to separate the fetal ECG signals using any number of recording electrodes, including the difficult case of single channel. This approach is based on some simple mathematical model using convolution matrix and with the help of maternal ECG, the fetal ECG signals can be extracted from the maternal abdomen. Further, the fetal ECG signals are passed through wavelets and adaptive filter to reduce the noise in the fetal ECG. The results show that the proposed method has a promising performance.