Feature subset selection for blood pressure classification using orthogonal forward selection

被引：0

作者：

Colak, S ^{[1
]}

Isik, C ^{[1
]}

机构：

[1] Syracuse Univ, Coll Engn & Comp Sci, Dept Elect Engn & Comp Sci, Syracuse, NY 13244 USA

来源：

PROCEEDINGS OF THE IEEE 29TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE | 2003年

关键词：

feature selection; orthogonal decomposition; blood pressure classification;

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：

Systolic and diastolic pressures are used to define cardiac related health in general medicine. In our present work(1), we investigate blood pressure classification based on pressure waveforms using a relatively large non-invasively collected database. Feature selection is required to reduce redundant features in the data set for a better classification. Therefore, a selection method abased on an orthogonal transform is used.

引用

页码：122 / 123

页数：2

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