comparison of the extended kalman filter and the unscented kalman filter for magnetocardiography activation time imaging
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ID: 219560
2013
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Abstract
The non-invasive and radiation-free imaging of the electrical activity of the
heart with Electrocardiography (ECG) or Magnetocardiography (MCG) can be
helpful for physicians for instance in the localization of the origin of
cardiac arrhythmia. In this paper we compare two Kalman Filter algorithms for
the solution of a nonlinear state-space model and for the subsequent imaging
of the activation/depolarization times of the heart muscle: the Extended
Kalman Filter (EKF) and the Unscented Kalman Filter (UKF). The algorithms are
compared for simulations of a (6×6) magnetometer array, a torso model
with piecewise homogeneous conductivities, 946 current dipoles located in a
small part of the heart (apex), and several noise levels. It is found that
for all tested noise levels the convergence of the activation times is faster
for the UKF.
| Reference Key |
ahrens2013advancescomparison
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|---|---|
| Authors | ;H. Ahrens;F. Argin;L. Klinkenbusch |
| Journal | neuropsychiatrie : klinik, diagnostik, therapie und rehabilitation : organ der gesellschaft osterreichischer nervenarzte und psychiater |
| Year | 2013 |
| DOI |
10.5194/ars-11-341-2013
|
| URL | |
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