A Kalman filter-based approach to reduce the effects of geometric errors and the measurement noise in the inverse ECG problem

@article{Aydin2011AKF,
  title={A Kalman filter-based approach to reduce the effects of geometric errors and the measurement noise in the inverse ECG problem},
  author={Umit Aydin and Yesim Serinagaoglu Dogrus{\"o}z},
  journal={Medical & Biological Engineering & Computing},
  year={2011},
  volume={49},
  pages={1003-1013}
}
In this article, we aimed to reduce the effects of geometric errors and measurement noise on the inverse problem of Electrocardiography (ECG) solutions. We used the Kalman filter to solve the inverse problem in terms of epicardial potential distributions. The geometric errors were introduced into the problem via wrong determination of the size and location of the heart in simulations. An error model, which is called the enhanced error model (EEM), was modified to be used in inverse problem of… CONTINUE READING
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