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[运用模式识别方法分析不同类型癫痫患者的脑电图]

[Use of methods of pattern recognition to analyze the EEG of patients with different forms of epilepsy].

作者信息

Guliaeva S E, Iudin V V, Likhovidov V N, Lukin S P, Burago V A

出版信息

Zh Nevropatol Psikhiatr Im S S Korsakova. 1985;85(6):827-31.

PMID:3927639
Abstract

The electrophysiological aspects of the pathogenesis of Kozhevnikov's epilepsy associated with tick-borne encephalitis were investigated. The study involved computerization of 114 scalp EEGs obtained from patients with this form of epilepsy who were observed in the Primorye Territory. In order to receive control data, the analogous methods were used in processing EEGs of healthy age-matched subjects and also of patients with petit mal epilepsy and with Jackson's epilepsy. The computerized analysis was carried out by means of the image recognition method. The results of this study revealed distinctive features in the nature of the spectrograms of the test subjects and showed that apart from the dependence of the power spectra on the severity of the clinical manifestations of the disease, there are some elements of homogeneity between the spectrograms of patients suffering from Kozhewnikov's epilepsy and petit mal epilepsy. This similarity appears to suggest the sommon level of the localization of the pathological impulsation foci in the patients of both groups, with objective findings supporting this assumption.

摘要

对与蜱传脑炎相关的科热夫尼科夫癫痫发病机制的电生理方面进行了研究。该研究涉及对114份头皮脑电图进行计算机处理,这些脑电图取自滨海边疆区观察到的患有这种癫痫形式的患者。为了获得对照数据,对年龄匹配的健康受试者以及患有小发作癫痫和杰克逊癫痫的患者的脑电图采用了类似方法进行处理。计算机分析通过图像识别方法进行。这项研究的结果揭示了测试对象频谱图性质的独特特征,并表明除了功率谱与疾病临床表现严重程度的相关性外,患有科热夫尼科夫癫痫的患者和小发作癫痫患者的频谱图之间存在一些同质元素。这种相似性似乎表明两组患者病理冲动灶定位的共同水平,客观发现支持这一假设。

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1
[Use of methods of pattern recognition to analyze the EEG of patients with different forms of epilepsy].[运用模式识别方法分析不同类型癫痫患者的脑电图]
Zh Nevropatol Psikhiatr Im S S Korsakova. 1985;85(6):827-31.
2
[Tick-borne encephalitis and epilepsy].
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3
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