Sleep stage classification using fuzzy sets and machine learning techniques

被引：0
|
作者：
Piñero, P
Garcia, P [1 ]
Arco, L
Alvarez, A
García, MM
Bonal, R
机构：
[1] Univ Ciencias Informat, Grp Bioinformat, Havana, Cuba
[2] Univ Cent Marta Abreu, Ctr Estudios Informat, Las Villas, Cuba
来源：
NEUROCOMPUTING | 2004年 / 58卷
关键词：
sleep stages; fuzzy rules-based reasoning; fuzzy system; expert system; machine learning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The hypnogram is determined after a study of electrophysiological records. In this paper we present the Intelligent system for sleep stages classification (ISSSC). This system is divided into four different modules: the first processes the electrophysiological signals and determines its most relevant parameters; the second module establishes fuzzy rules that will be used during the classification process; the third module is an inference module, it implements a fuzzy model. Finally the system builds the patient's hypnogram and provides us different outputs. We present the classification results obtained from applying the systems to classify patients with different sleep disorders. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：1137 / 1143
页数：7
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