Multi-channel electrocardiogram denoising using a Bayesian filtering framework

Computers in Cardiology

Volumn 33, Issue , 2006, Pages 185-188

  Sameni, Reza ^a,b   Shamsollahi, M B ^b   Jutten, C ^a  

^a GRENOBLE INSTITUTE OF TECHNOLOGY   (France)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CARDIOLOGY; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; THREE DIMENSIONAL;

BAYESIAN FILTERING; DE-NOISING; ECG MODEL; ECG SIGNALS; FILTERING APPROACHES; LOW SNR; MODEL-BASED; MULTI CHANNELS; MULTI-CHANNEL RECORDINGS; NOISY RECORDINGS; SINGLE CHANNEL; THREE DIMENSIONAL MODELLING;

SIGNAL PROCESSING;

EID: 50149100146     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Sameni R, Shamsollahi MB, Jutten C. Filtering Electrocardiogram Signals Using the Extended Kalman Filter. In Proc of the 27th Annu Intl Conf of the IEEE Eng in Med and Bio Soc (EMBS). Shanghai, China, Sep 1-4 2005; 5639-42.
2. Sameni R, Shamsollahi MB, Jutten C, Babaie-Zadeh M. Filtering Noisy ECG Signals Using the Extended Kalman Filter Based on a Modified Dynamic ECG Model. Computers in Cardiology Sep 2005;32:1017-20.
3. Sameni R, Shamsollahi MB, Jutten C, Clifford GD. A Nonlinear Bayesian Filtering Framework for ECG Denoising, Feb. 2006. Submitted to IEEE Trans Biomed Eng.
4. McSharry PE, Clifford GD, Tarassenko L, Smith LA. A Dynamic Model for Generating Synthetic Electrocardiogram Signals. IEEE Trans Biomed Eng Mar 2003;50:289-294.
5. Sameni R, Clifford GD, Jutten C, Shamsollahi MB. Multi-Channel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals, May 2006. Submitted to EURASIP J Appl Signal Processing.
6. Dössel O. Inverse problem of electro- and magnetocardiography: Review and recent progress. Int J Bioelectromagnetism 2000;2(2). URL http://www.ijbem.org/volume2/number2/doessel/paper.htm.
7. Malmivuo JA, Plonsey R (eds.). Bioelectromagnetism, Principles and Applications of Bioelectric and Biomagnetic Fields. Oxford University Press, 1995. URL http://butler.cc.tut.fi/~malmivuo/bem/bembook.
8. van Oosterom A. Beyond the dipole; modeling the genesis of the electrocardiogram. 100 years Einthoven 2002;7-15.
9. Gelb A (ed.). Applied Optimal Estimation. MIT Press, 1974.
10. Haykin S (ed.). Kalman Filtering and Neural Networks. John Wiley & Sons Inc., 2001.
11. Clifford GD, Shoeb A, McSharry PE, Janz BA. Model-based filtering, compression and classification of the ECG. International Journal of Bioelectromagnetism May 2005;7:158-161.
12. Dower GE, Machado HB, Osborne JA. On deriving the electrocardiogram from vectorcardiographic leads. Clin Cardiol 1980;3:87.