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Synthetic ECG generation and Bayesian filtering using a Gaussian wave-based dynamical model

Abstract:

In this paper, we describe a Gaussian wave-based state space to model the temporal dynamics of electrocardiogram (ECG) signals. It is shown that this model may be effectively used for generating synthetic ECGs as well as separate characteristic waves (CWs) such as the atrial and ventricular complexes. The model uses separate state variables for each CW, i.e. P, QRS and T, and hence is capable of generating individual synthetic CWs as well as realistic ECG signals. The model is therefore usefu...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/0967-3334/31/10/002

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Institution:
Biomedical Signal and Image Processing Laboratory (BiSIPL)
Role:
Author
More by this author
Institution:
Biomedical Signal and Image Processing Laboratory (BiSIPL)
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
Institute of Biomedical Engineering
Role:
Author
Publisher:
Institute of Physics(IOP) Publishing
Journal:
Physiological Measurement More from this journal
Volume:
31
Issue:
10
Pages:
1309-1329
Publication date:
2010-01-01
DOI:
EISSN:
1361-6579
ISSN:
0967-3334
Language:
English
Keywords:
Subjects:
UUID:
uuid:8bce029c-ffbf-43e9-838a-7aaa9ce2e66d
Local pid:
ora:5072
Deposit date:
2011-03-01

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