Hierarchical classification of respiratory sounds

被引：0
|
作者：
Kahya, YP [1 ]
Güler, EÇ [1 ]
Sankur, B [1 ]
Raudys, S [1 ]
机构：
[1] Bogazici Univ, Dept Elect Engn, TR-80815 Bebek, Turkey
来源：
PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND | 1998年 / 20卷
关键词：
respiratory sounds; hierarchical classification;
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
In this study, a novel decision fusion scheme for the classification of respiratory sounds is proposed. Furthermore a regularization scheme is applied to the data to stabilize training and consultation. The method consists of dividing respiratory cycles of patients into phases, and classifying each phase with a separate multilayer perceptron, called the "phase expert". Each phase information consists of several time segments and their parametric representation. Expert decisions on phase segments are then combined by a decision fusion scheme, simulating a consultation session.
引用
收藏
页码：1598 / 1601
页数：4
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