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Wavelet analysis of generalized tonic-clonic epileptic seizures

机译:广义强直阵挛性癫痫发作的小波分析

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The analysis of generalized tonic-clonic seizures is usually difficult with quantitative EEG techniques due to muscle artifact. We applied two quantifiers based on the Wavelet Transform to evaluate 20 seizures from eight consecutive patients admitted for video-EEG monitoring. We studied the relative wavelet energy and the wavelet entropy over time. In 16/20 events we found significant decremental activity in the relative wavelet energy associated with frequency band 0.8-3.2 Hz (delta activity) at the seizure onset, indicating that the seizure is dominated by medium frequency bands 3.2-12.8 Hz (theta and alpha bands). In 19/20 events the mean wavelet entropy presents lower values during the ictal period compared to the pre-ictal period, indicating that the associated dynamic is more ordered and simple. Thus the employed tools show good accuracy for detecting changes in the system dynamic. We conclude that this behavior could be induced by frequency tuning in the neuronal activity triggered by an hypothetic epileptic focus.
机译:由于肌肉伪影,使用定量脑电图技术通常难以分析一般性强直-阵挛性癫痫发作。我们基于小波变换应用了两个量词,以评估连续八名接受影像脑电图监测的患者的20次癫痫发作。我们研究了相对小波能量和随时间变化的小波熵。在16/20事件中,我们发现癫痫发作时与0.8-3.2 Hz频带(δ活度)相关的相对小波能量显着递减,表明癫痫发作主要由3.2-12.8 Hz的中频频带(θ和α乐队)。在19/20事件中,与在发作前相比,在发作期平均小波熵呈现出较低的值,这表明相关的动力学更加有序和简单。因此,所采用的工具显示出用于检测系统动态变化的良好准确性。我们得出结论,这种行为可能是由假想性癫痫病灶触发的神经元活动的频率调谐引起的。

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