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由大型计算机数据库描述的脑电图背景活动。

EEG background activity described by a large computerized database.

作者信息

Aurlien H, Gjerde I O, Aarseth J H, Eldøen G, Karlsen B, Skeidsvoll H, Gilhus N E

机构信息

Department of Neurology, Section of Clinical Neurophysiology, Haukeland University Hospital, University of Bergen, 5021 Bergen, Norway.

出版信息

Clin Neurophysiol. 2004 Mar;115(3):665-73. doi: 10.1016/j.clinph.2003.10.019.

DOI:10.1016/j.clinph.2003.10.019
PMID:15036063
Abstract

OBJECTIVE

To show how our newly developed software for classification and storage of visually routinely assessed EEGs are used to evaluate the general background activity (GBA) and the alpha rhythm (AR) in a large number of prospective EEGs.

METHODS

EEGs from 4651 consecutive patients were visually assessed using a computerized description system connected to an EEG database. The AR and the GBA apart from the AR were described separately for frequency and amplitude.

RESULTS

AR frequencies declined from the age of 45 years and slowed with increasing age independently of non-AR pathology and gender. Females had higher AR frequencies than males. EEGs with non-GBA pathology had lower GBA frequencies and higher GBA amplitudes. Higher GBA amplitudes were associated with lower GBA frequencies in normal EEGs for all age groups. EEG interpretations by 4 independent electroencephalographers showed the same trends, but differed in exact assessment of frequencies and amplitudes.

CONCLUSIONS

EEG interpretations stored in a categorized database with easy access to data have successfully been used to evaluate interobserver variation and other quality control measurements. Statistical analysis of the data has at the same time produced new information regarding the development of AR and GBA throughout life.

摘要

目的

展示我们新开发的用于对视觉常规评估的脑电图进行分类和存储的软件如何用于评估大量前瞻性脑电图中的一般背景活动(GBA)和阿尔法节律(AR)。

方法

使用连接到脑电图数据库的计算机化描述系统对4651例连续患者的脑电图进行视觉评估。分别描述了AR以及除AR之外的GBA的频率和振幅。

结果

AR频率从45岁开始下降,并且随着年龄的增长而减慢,与非AR病变和性别无关。女性的AR频率高于男性。患有非GBA病变的脑电图具有较低的GBA频率和较高的GBA振幅。在所有年龄组的正常脑电图中,较高的GBA振幅与较低的GBA频率相关。4名独立脑电图专家的脑电图解释显示出相同的趋势,但在频率和振幅的精确评估上存在差异。

结论

存储在分类数据库中且数据易于访问的脑电图解释已成功用于评估观察者间差异和其他质量控制测量。同时,对数据的统计分析产生了有关AR和GBA一生发展的新信息。

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