title: Filtering electrocardiogram signals using the extended Kalman filter.
abstract: 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.
authors.affiliation: School of Electrical Engineering, Sharif University of Technology, Tehran, Iran. e-mail: r_sameni@mehr.sharif.edu.
authors.forename: R
authors.initials: R
authors.lastname: Sameni
authors.forename: M B
authors.initials: MB
authors.lastname: Shamsollahi
authors.forename: C
authors.initials: C
authors.lastname: Jutten