Synthetic ECG generation and Bayesian filtering using a Gaussian wave-based dynamical model
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 complexe...
Main Authors: | Sayadi, O, Shamsollahi, M, Clifford, G |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Institute of Physics(IOP) Publishing
2010
|
Subjects: |
Similar Items
-
Synthetic ECG generation and Bayesian filtering using a Gaussian wave-based dynamical model.
by: Sayadi, O, et al.
Published: (2010) -
A review of fetal ECG signal processing issues and promising directions
by: Sameni, R, et al.
Published: (2010) -
An artificial vector model for generating abnormal electrocardiographic rhythms
by: Clifford, G, et al.
Published: (2010) -
Signal processing methods for heart rate variability
by: Clifford, G
Published: (2002) -
User guide and documentation for the MIMIC II database (version 2, release 1)
by: Clifford, G, et al.
Published: (2010)