Liberati D, Bertolini L, Colombo D C
Centro Teoria dei Sistemi del CNR, Dipartimento di Elettronica del Politecnico di Milano, Italy.
Med Biol Eng Comput. 1991 Mar;29(2):159-66. doi: 10.1007/BF02447102.
The paper introduces a Kalman filter procedure for the processing of single-sweep visual evoked potentials (VEPs). The identification of the filter coefficients is based on a model of signal and noise interaction which considers the generating process as the superposition of the true evoked response to an AR process (the background EEG) and a broader spectrum noise. Intersweep variability is thus evident on the filtered response and a functional parameter of the filter (VP(t), namely variability path) is proposed for the automatic determination of the latencies associated with the main peaks of the response. Finally, the time-variant algorithm allows the quantification of the intrasweep variability for possible interpretation of the physiological mechanism involved.
本文介绍了一种用于处理单次扫描视觉诱发电位（VEP）的卡尔曼滤波程序。滤波器系数的识别基于信号与噪声相互作用模型，该模型将生成过程视为对AR过程（背景脑电图）的真实诱发反应与更宽频谱噪声的叠加。因此，滤波后的反应上存在扫描间变异性，并且提出了滤波器的一个功能参数（VP(t)，即可变路径）用于自动确定与反应主峰相关的潜伏期。最后，时变算法允许对扫描内变异性进行量化，以便对所涉及的生理机制进行可能的解释。
