Feature subset selection for blood pressure classification using orthogonal forward selection

S. Colak; C. Isik

Feature subset selection for blood pressure classification using orthogonal forward selection

S. Colak, C. Isik

Department of Electrical Engineering & Computer Science

Research output: Contribution to conference › Paper › peer-review

6 Scopus citations

Abstract

Systolic and diastolic pressures are used to define cardiac related health in general medicine. In our present work¹, 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 based on an orthogonal transform is used.

Original language	English (US)
Pages	122-123
Number of pages	2
State	Published - Aug 22 2003
Event	Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States Duration: Mar 22 2003 → Mar 23 2003

Other

Other	Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference
Country	United States
City	Newark, NJ
Period	3/22/03 → 3/23/03

Keywords

Blood pressure classification
Feature selection
Orthogonal decomposition

ASJC Scopus subject areas

Bioengineering

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title = "Feature subset selection for blood pressure classification using orthogonal forward selection",

abstract = "Systolic and diastolic pressures are used to define cardiac related health in general medicine. In our present work1, 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 based on an orthogonal transform is used.",

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KW - Orthogonal decomposition

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T2 - Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference

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