  In this work we used the SVD to reconstruct pure epileptic transitory
activities for the definition of the accurate sources responsible of the
excessive discharge implied by the transitory hallmark activities in pharmaco
resistant epilepsy. We applied firstly an automatic detection of the local
peaks of the transitory activities through a thresholding the energy
distrubition, then we performed the SVD on the detectable transitory (300 ms
window) simulated events to recover only the non contaminated transitory
activities by gamma oscillations, we calculate the precision of the SVD to
evaluate the robustness of this technique in separation between transitory and
gamma oscillations. In second phase we applied the SVD on small window of
transitory activities from real MEG signal, we obtained dipolar topographic map
for the pure transitory activities, however the time excitation for the recover
of pure epileptic transitory activities among the gamma oscillations were very
heavy and hence we propose to integrate the SVD on a dynamic partial
reconfiguration. This integration were very useful, in fact we did obtained
about 27 Times faster in the SVD execution.
