关于癫痫脑电图的时延估计

On time delay estimation of epileptic EEG.

作者信息

Harris B, Gath I, Rondouin G, Feuerstein C

机构信息

Department of Biomedical Engineering, Technion, Israel Institute of Technology, Haifa.

出版信息

IEEE Trans Biomed Eng. 1994 Sep;41(9):820-9. doi: 10.1109/10.312089.

DOI:10.1109/10.312089

PMID:7959809

Abstract

The present study deals with comparative evaluation of various methods for time delay estimations applied to multichannel seizure EEG. The different methods included block algorithms, both in time and frequency domains (such as General Crosscorrelation, FFT, AR), and a new method for time delay estimation based on adaptive least-squares filtering. The various time delay estimators were tested on simulated signals and on real multichannel EEG recorded from rats having generalized seizures with focal onset. The adaptive least-squares filtering (the lattice-ladder type) has been found as the most efficient for time delay estimation.

摘要

本研究涉及对应用于多通道癫痫脑电图的各种时延估计方法的比较评估。不同的方法包括时域和频域中的块算法（如广义互相关、快速傅里叶变换、自回归），以及一种基于自适应最小二乘滤波的时延估计新方法。各种时延估计器在模拟信号以及从患有局灶性发作的全身性癫痫大鼠记录的真实多通道脑电图上进行了测试。已发现自适应最小二乘滤波（格型梯型）在时延估计方面最为有效。