Feature subset selection for blood pressure classification using orthogonal forward selection

S. Colak, C. Isik

Research output: Contribution to conferencePaper

5 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 languageEnglish (US)
Pages122-123
Number of pages2
StatePublished - Aug 22 2003
EventProceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States
Duration: Mar 22 2003Mar 23 2003

Other

OtherProceedings of the IEEE 29th Annual Northeast Bioengineering Conference
CountryUnited States
CityNewark, NJ
Period3/22/033/23/03

Keywords

  • Blood pressure classification
  • Feature selection
  • Orthogonal decomposition

ASJC Scopus subject areas

  • Bioengineering

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  • Cite this

    Colak, S., & Isik, C. (2003). Feature subset selection for blood pressure classification using orthogonal forward selection. 122-123. Paper presented at Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference, Newark, NJ, United States.