We present a method to efficiently evaluate the uncertainty in bidomain-based ECGs (mean, covariance) when the position of the electrodes is uncertain. The strategy is based on the lead field approach and a low-rank decomposition of the covariance matrix. The implementation is done in FEniCS.
The preprint
Multerer M., Pezzuto S. Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location.
is available on arXiv (2102.09960).
The PDF is available here: FIMH2021.