B. Murienne - Master Project Thesis - Infoscience - EPFL
B. Murienne - Master Project Thesis - Infoscience - EPFL
B. Murienne - Master Project Thesis - Infoscience - EPFL
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Figure 12. Velocity vector field [1].<br />
Conduction velocity vector fields describe the local speed and direction of propagation of cardiac<br />
activity [1]. Traditionally, the direction of propagation is identified manually and the speed is<br />
computed from ∆t between activation at two points along that direction measured with two<br />
electrodes. However, this procedure is valid only if the electrode used is small enough to<br />
distinguish the local activity and if the temporal resolution is good. If the wavefront is not<br />
perpendicular to line connecting electrodes, two different sites appear to activate nearly<br />
simultaneously as shown in Figure 13.<br />
Figure 13. Schematic diagram of a propagating wavefront observed by two electrodes [1].<br />
(a) The wavefront is perpendicular to the line joining the two electrodes.<br />
(b) The wavefront intersects obliquely the line joining the two electrodes.<br />
If the wavefront is perpendicular to the line joining both electrodes (Figure 13.a), the inter-<br />
electrode distance divided by the difference in activation times gives a good estimation of the<br />
propagation velocity. If the wavefront intersects obliquely the line joining both electrodes (Figure<br />
13.b), an artificially high propagation velocity is deduced from the division.<br />
A new method to estimate velocities of multiple wavefronts at different locations and times and<br />
find vector fields of local conduction was developed [1]. The algorithm consists in fitting<br />
polynomials T(x,y) to a set of “active” points in the (x,y,t)-space and estimating velocity vectors<br />
from partial derivatives of these polynomials.<br />
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