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Latency change estimation for evoked potentials via a new generalized cross correlation method

机译:通过新的广义交叉相关方法对诱发电位的延迟变化估计

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Variations in Evoked Potential (EP) can be used to detect changes in the neurological system. Experiments have shown a good correlation between latency variations and injury-related changes in the neurological system. Reliable detection and accurate estimation of latency changes in EP therefore become very important in monitoring the status of the neurological system. In this paper, the Generalized Cross Correlation (GCC) method is used to estimate latency changes in EP. Experimental results show that the performance of the GCC method can be improve significantly by using the Linear Prediction Coefficients (LPC) to estimate the power spectrum instead of the traditionally used Fast Fourier Transform (FFT).
机译:诱发电位(EP)的变化可用于检测神经系统系统的变化。实验表明了神经系统中潜伏变化与损伤相关变化之间的良好相关性。因此,EP中延迟变化的可靠检测和准确估计在监测神经系统系统的状态方面变得非常重要。在本文中,广义互相关(GCC)方法用于估计EP中的延迟变化。实验结果表明,通过使用线性预测系数(LPC)来估计电力频谱而不是传统使用的快速傅里叶变换(FFT),可以显着改善GCC方法的性能。

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