[睡眠测谎中的模式识别技术]。

EEG-EMG Zeitschrift fur Elektroenzephalographie, Elektromyographie und verwandte Gebiete Pub Date : 1991-09-01

M Jobert, W Scheuler, W Röske, E Poiseau, S Kubicki

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引用次数: 0

摘要

脑电图模式的评估通常是通过视觉分析来完成的。然而，现在即使是个人计算机也足够快，可以对脑电图信号进行有效的模式识别。以睡眠纺锤波和k -复合体为例，我们的目的是演示如何在脑电图信号中以高度准确的方式检测模式。此外，通过应用额外的“自适应算法”，允许对信号的形式和幅度进行单独调整，k复合物的识别得到了改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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[Pattern recognition techniques in sleep polygraphy].

The evaluation of EEG-patterns is usually accomplished by visual analysis. Nowadays however, even personal computers are fast enough for an efficient pattern recognition of EEG signals. Using sleep spindles and K-complexes as examples, our aim was to demonstrate how patterns can be detected in an EEG signal with a high degree of accuracy. Furthermore, recognition of K-complexes has been improved by applying an additional "adaptive algorithm" allowing individual adjustments to the signal's form and amplitude.

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EEG-EMG Zeitschrift fur Elektroenzephalographie, Elektromyographie und verwandte Gebiete

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