Sleep EEG Automatic Analysis

被引：0
|
作者：
Gala, M. [1 ]
Babusiak, B. [1 ]
机构：
[1] Tech Univ Ostrava, Dept Measurement & Control, Ostrava 70833, Czech Republic
来源：
IFAC WORKSHOP ON PROGRAMMABLE DEVICES AND EMBEDDED SYSTEMS (PDES 2009), PROCEEDINGS | 2009年
关键词：
Sleep EEG; segmentation; cluster analysis; classes; hypnogram; sleep states;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
To an exact diagnosis statement a correct evaluation of sleep electroencephalogram is required. The sleep activity record is very long (a few hours). The evaluation of the sleep activity is time-consuming. The evaluation is provided by a doctor. In order to save time various automatic evaluations methods are developed. The one of methods includes dividing the signal into 30 seconds long sections. These sections are analyzed. The 30 seconds length sections are with adaptive segmentation reduced. From these segments mean amplitude, mean frequency, 1st and 2nd derivation are computed. The processing and the evaluation of the segments properties leads to definition of sleep status.
引用
收藏
页码：242 / 247
页数：6
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