Identification of basic patterns for an automatic classification of sleep stages in infants

被引：0
|
作者：
Holzmann, C [1 ]
Perez, C [1 ]
Peirano, P [1 ]
Ehijo, A [1 ]
Pizarro, F [1 ]
机构：
[1] Univ Chile, Dept Elect Engn, Santiago, Chile
来源：
PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5 | 1997年 / 18卷
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D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This work proposes methods to detect sleep spindles in the electroencephalographic activity, rapid eye movements (REM) in the electrooculographic activity, and chin muscle tone in the electromyographic activity in digital polysomnographic recordings. This is a first step in the design of an Expert System for automatic classification of sleep stages in normal infants.
引用
收藏
页码：1598 / 1599
页数：2
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