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Session: Heart
Session starts: Thursday 26 January, 10:30
Presentation starts: 10:45
Room: Room 558

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Johannes de Vries (Circuits and Systems (CAS) Group, Delft University of Technology)
Miao Sun (Circuits and Systems (CAS) Group, Delft University of Technology)
Natasja de Groot (Department of Cardiology, Erasmus University Medical Center)
Richard Hendriks (Circuits and Systems (CAS) Group, Delft University of Technology)

Abstract:
Estimating tissue conductivity parameters from electrograms (EGMs) could be an important tool for diagnosing and treating heart rhythm disorders such as atrial fibrillation (AF). One of these parameters is the fibre direction, often assumed to be known in conductivity estimation methods. In this abstract, a novel method to estimate the fibre direction from EGMs is presented. This method is based on local conduction slowness vectors of a propagating activation wave. These conduction slowness vectors follow an elliptical pattern that depends on the underlying conductivity parameters. The fibre direction and conductivity anisotropy ratio can therefore be estimated by fitting an ellipse to the conduction slowness vectors in the least squares sense. Applying the presented method on simulated data shows that it can estimate the fibre direction more accurately than existing methods. The estimation performance depends mostly on the range of wavefront directions present in the measurement area, which in turn is influenced by the measurement area size, distance between stimulus and measurement areas, and true fibre direction. The main advantage of the presented method is that it still functions relatively well in the presence of conduction blocks, as long as the surrounding tissue is approximately homogeneous.