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Activation & Recovery Times



This workgroup was created during the meeting at Computing in Cardiology 2017. The main objective is to compare the different methods used by research groups to detect the time of electrical activation and/or recovery of local cardiac tissue. We want to evaluate the performance of these methods by applying them to several datasets for which a ground truth is available. Finally, we aim to come to a conclusion, which method works best under which circumstances. In contrast to activation times imaging, this workgroup is concerned with the estimation of activation and recovery times as a post-processing step applied to reconstructions of extracellular potentials or transmembrane voltages.


This effort is open to anyone. If you are interested, simply join the Google Group or send an email to ecgi-art@googlegroups.com.

Intermediate results were presented at CinC 2019 – see paper or slides.
Simulations show that activation times estimated from reconstructions using 2nd order Tikhonov largely depend on the source model and the estimation method. For physiological cases, the best results could be obtained for transmembrane voltages and spatio-temporal estimation methods. Extracellular potentials are particularly prone to line of block artifacts near the junction of the septum and the outer wall. Purely temporal methods are less robust to noise in reconstructions.
Recently, we added pathological cases including real lines of block and scar patches. While these abnormalities can be recovered by purely temporal estimation methods, most spatio-temporal methods blur out these details by default. Appropriate adjustments to spatio-temporal methods are required to yield a robust method still sensitive to spatial details.
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CinC2019.pdf
(20823k)
Steffen Schuler,
Nov 10, 2019, 4:10 AM
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