一种用于脑电图频谱分析的实时系统。

A real-time system for the spectral analysis of the EEG.

作者信息

Quint S R, Michaels D F, Hilliard G W, Messenheimer J A

机构信息

Curriculum in Biomedical Engineering, UNC School of Medicine, Chapel Hill 27599.

出版信息

Comput Methods Programs Biomed. 1989 Jan;28(1):11-22. doi: 10.1016/0169-2607(89)90176-4.

DOI:10.1016/0169-2607(89)90176-4

PMID:2924549

Abstract

We have developed an inexpensive and portable system for processing multiple channels of electroencephalograms (EEG) in real-time to assist the electroencephalographer in identifying subtle changes in these data, particularly in the interpretation of long records. Up to 16 channels of data are spectrally decomposed with a selection of bandwidth, windows, scaling methods, epoch averaging, and smoothing options available. The resulting power spectral estimate may be displayed or printed in a variety of formats, including color encoding of selectable spectral bands. Both the sampled EEG and its spectra may be stored for off-line reprocessing, for archiving, or for statistical analysis in the time or frequency domains.

摘要

我们开发了一种廉价且便携的系统，用于实时处理多通道脑电图（EEG），以协助脑电图技师识别这些数据中的细微变化，尤其是在解读长时间记录时。该系统可对多达16个通道的数据进行频谱分解，并提供多种带宽、窗口、缩放方法、时段平均和平滑选项。所得的功率谱估计值可以多种格式显示或打印，包括对可选频谱带进行颜色编码。采样的脑电图及其频谱均可存储，以便进行离线再处理、存档或在时域或频域进行统计分析。