Filtering electrocardiogram signals using the extended Kalman filter

被引：28

作者：

Sameni, R. ^{[1
]}

Shamsollahi, M. B. ^{[1
]}

Jutten, C. ^{[1
]}

机构：

[1] Sharif Univ Technol, Sch Elect Engn, Tehran, Iran

来源：

2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年

关键词：

extended Kalman filter (EK-F); nonlinear filtering; electrocardiography;

D O I：

10.1109/IEMBS.2005.1615765

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：5639 / 5642

页数：4