基于时间尺度参数的睡眠阶段识别研究

2010 15th National Biomedical Engineering Meeting Pub Date : 2010-04-21 DOI:10.1109/BIYOMUT.2010.5479848

Baycan Akcay, M. Engin, E. Z. Engin, Seyhan Coskun, Gungor Polat

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引用次数: 0

摘要

在本研究中，基于时间尺度的脑电图信号分析被用于睡眠阶段的识别。采用尺度图法对健康受试者的脑电信号进行时域分析。我们发现，从能量分布图像中提取的统计参数，即平均灰度和均匀度，对睡眠阶段的识别是有效的。

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Investigation of sleep stages identification with time-scale based parameters

In this study, the time-scale based analysis of EEG signals is shown for recognition of sleep stages. The EEG signals from healthy subjects are analyzed by Scalogram method in the time-scale domain. We observed that statistical parameters, the average gray level and measure of uniformity extracted from the energy distribution images, are found to be effective on the recognition of sleep stages.

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2010 15th National Biomedical Engineering Meeting

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