Eigenvector Techniques for Time and Frequency Domain Analysis of Sensory Evoked Brain Potentials

9308028戴维拉这个研究启动奖的目标是开发几种可用于分析感觉诱发电位的新技术。一种方法是对传统的集合平均方法的推广，它应该最大化信噪比。第二种方法是跟踪诱发电位自相关矩阵的主特征向量，以求出数据的频谱。这项研究很重要，因为它有可能减少数据量，从而减少估计感觉诱发电位所需的时间。***

9308028 Davila The goal of this Research Initiation award is to develop several new techniques that can be used to analyze sensory evoked potentials. One methods is a generalization of the traditional ensemble averaging approach that should maximize the signal-to- noise ratio. The second proposed method would track the principle eigenvectors of the evoked potential autocorrelation matrix in order to find the frequency spectrum of the data. This research is important since it has the potential to reduce the amount of data, and consequently the time, needed to estimate sensory evoked potential. ***