论文标题
SVD中MEG信号中伽马振荡活动中纯癫痫暂时的检测，嵌入了部分动态重新配置
Detection of pure epileptic transitory among gamma oscillatory activities in MEG signals by SVD, embedded on a partial dynamic reconfiguration
论文作者
论文摘要
在这项工作中，我们使用SVD来重建纯癫痫临时活动，以定义由Pharmaco耐药性癫痫中暂时的标志活动所隐含的过度放电的准确来源。我们首先通过阈值通过阈值进行了能量干扰，然后在可检测的暂时（300 ms窗口）模拟事件上执行了SVD自动检测，因此我们仅恢复了γ振荡的非污染暂时性活动，我们将SVD的精确度计算为SVD的精确性，以评估该技术的良好性和GAGA的精确性。在第二阶段，我们将SVD应用于来自真实MEG信号的暂时性活动的小窗口，我们获得了纯短暂性活动的偶极地形图，但是，在γ振荡中恢复纯癫痫临时活动的时间激发非常重，因此我们建议我们将SVD集成在动态部分重新启动上。这种集成非常有用，实际上，我们在SVD执行中确实获得了大约27倍。
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.
