Automatic detection of sleep stages using the EEG

被引：24
|
作者：
Van Hese, P [1 ]
Philips, W [1 ]
De Koninck, J [1 ]
Van de Walle, R [1 ]
Lemahieu, I [1 ]
机构：
[1] State Univ Ghent, IBITECH, MEDISIP, Elis Dept, B-9000 Ghent, Belgium
来源：
PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE | 2001年 / 23卷
关键词：
automatic sleep scoring; EEG analysis;
D O I：
10.1109/IEMBS.2001.1020608
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
We present a method for the detection of sleep stages using the EEG (electroencephalogram). The method consists of four steps: segmentation; parameter extraction; cluster analysis; and classification. The parameters we compared were the parameters of Hjorth, the harmonic parameters and the relative band energy. For cluster analysis we used a modified version of the K-means algorithm. It is shown that the investigated parameters are capable of extracting information from the EEG relevant for sleep stage scoring. Using the modified K-means algorithm it is possible to find 'similar' segments and hence automate the detection of sleep stages. However, extra information e.g., the ECG (electrocardiogram) or the EOG (electrooculogram) is probably necessary for a clear discrimination between the different sleep stages.
引用
收藏
页码：1944 / 1947
页数：4
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