癫痫患者脑磁图的高频振荡量化算法研究

摘要

Objective: To evaluate the validity of gravity frequency used for quantifying the rnhigh-frequency oscillations of epileptic MEG. Methods: A temporal lobe epileptic MEG datarnwas decomposed by short time Fourier transforms. Then, the average gravity frequency was rncalculated. The difference of average gravity frequency between LT and RT gradient sensor rnwas obtained. Results: The gravity frequency from frequency band 80-250 Hz of MEG from rninjured side was higher than that from uninjured side. Conclusion: The high-frequency rnoscillations for epileptic MEG can be quantified by gravity frequency. The HFOs from injured rnand uninjured side can be distinguished.%目的:验证重心频率能否有效量化癫痫患者脑磁图中的高频振荡成分.方法:选择1例典型颞叶癫痫患者的脑磁图数据,采用短时傅里叶变换进行分解,用重心频率对高频振荡进行量化,并计算平均重心频率,比较左、右颞的重心频率差异.结果:在静息状态下,患侧的梯度计采集到的MEG信号在80～ 250 Hz范围内即时重心频率和平均重心频率都比健侧高.结论:采用重心频率能够有效的量化信号的高频振荡,同时能够有效的区分出健侧和患侧信号之间的高频振荡差异.