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 journal › Conference Article › peer-review

15 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 (from-to)	122-123
Number of pages	2
Journal	Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
State	Published - 2003
Event	Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States Duration: Mar 22 2003 → Mar 23 2003

Keywords

Blood pressure classification
Feature selection
Orthogonal decomposition

ASJC Scopus subject areas

Chemical Engineering(all)
Bioengineering

Cite this

@article{3ad6a98af463456b8e58848d69d5904b,

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.",

keywords = "Blood pressure classification, Feature selection, Orthogonal decomposition",

author = "S. Colak and C. Isik",

year = "2003",

language = "English (US)",

pages = "122--123",

journal = "Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC",

issn = "1071-121X",

note = "Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference ; Conference date: 22-03-2003 Through 23-03-2003",

}

TY - JOUR

T1 - Feature subset selection for blood pressure classification using orthogonal forward selection

AU - Colak, S.

AU - Isik, C.

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

KW - Blood pressure classification

KW - Feature selection

KW - Orthogonal decomposition

UR - http://www.scopus.com/inward/record.url?scp=68949149397&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=68949149397&partnerID=8YFLogxK

M3 - Conference Article

AN - SCOPUS:68949149397

SN - 1071-121X

SP - 122

EP - 123

JO - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

JF - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

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

Y2 - 22 March 2003 through 23 March 2003

ER -

Feature subset selection for blood pressure classification using orthogonal forward selection

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this