Details

Autor(en) / Beteiligte

• Sameni, R.
• Shamsollahi, M.B.
• Jutten, C.
• Babaie-Zadeh, M.

Titel

Filtering noisy ECG signals using the extended kalman filter based on a modified dynamic ECG model

Ist Teil von

• Computers in Cardiology, 2005, 2005, p.1017-1020

Ort / Verlag

IEEE

Erscheinungsjahr

2005

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• In this paper an extended Kalman filter (EKF) has been proposed for the filtering of noisy ECG signals. The method is based on a modified nonlinear dynamic model, previously introduced for the generation of synthetic ECG signals. An automatic parameter selection method has also been suggested, to adapt the model with a vast variety of normal and abnormal ECG signals. The results show that the EKF output is able to track the original ECG signal shape even in the most noisiest epochs of the ECG signal. The proposed method may serve as an efficient filtering procedure for applications such as the noninvasive extraction of fetal cardiac signals from maternal abdominal signals