表征脑电图(EEG)信号以检测睡眠开始的专家系统

F.A. Hamid, A. Hussain, A. Mohamed, M. A. Mohd. Ali, B. Majlis, R.A. Ali, A. Mohamed
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引用次数: 1

摘要

本文描述了一种使用专家系统来区分睡眠的不同阶段的方法:即从清醒状态到第二阶段睡眠。提出了一种利用人类睡眠脑电图(EEG)信号特征分析进行睡眠分期的专家系统。利用Kappa PC专家系统外壳,利用脑电信号的频率和波形特征实现了睡眠设定检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expert system for characterization of electroencephalography (EEG) signals to detect sleep onset
This paper describes the development of an approach that uses expert system to differentiate various stages of sleep: i.e. from awake state to stage II sleep. An expert system that performs sleep staging using the characteristics analysis of the human sleeps electroencephalography (EEG) signals are presented. The Kappa PC expert system shell, the frequencies and waveforms characteristics of the EEG signals were used in the implementation of the sleep on set detection.
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