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

fYear

2005

fDate

6/27/1905 12:00:00 AM

Firstpage

5639

Lastpage

5642

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.2005.1615765

Filename

1615765

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1582990