Filtering Electrocardiogram Signals Using the Extended Kalman Filter

In this paper the extended Kalman filter (EKF) has been used for the filtering of electrocardiogram (ECG) signals. The method is based on a previously nonlinear dynamic model proposed for the generation of synthetic ECG signals. The results show that the EKF may be used as a powerful tool for the extraction of ECG signals from noisy measurements; which is the state of the art in applications such as the noninvasive extraction of fetal cardiac signals from maternal abdominal signals