Title :
Filtering Electrocardiogram Signals Using the Extended Kalman Filter
Author :
Sameni, R. ; Shamsollahi, M.B. ; Jutten, C.
Author_Institution :
Sch. of Electr. Eng., Sharif Univ. of Technol., Tehran
fDate :
6/27/1905 12:00:00 AM
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
Keywords :
Kalman filters; electrocardiography; medical signal processing; obstetrics; ECG; electrocardiogram signal filtering; extended Kalman filter; fetal cardiac signals; maternal abdominal signals; nonlinear dynamic model; signal extraction; Abdomen; Adaptive filters; Biomedical measurements; Biomedical signal processing; Cardiology; Electrocardiography; Filtering; Morphology; Signal generators; Timing; Electrocardiography; Extended Kalman Filter (EKF); Nonlinear filtering;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615765
