Fuzzy oscillometric blood pressure classification

S. Colak, C. Isik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Classification of systolic, mean and diastolic blood pressure profiles using the oscillometric method is a difficult process. Generally, the algorithms aim at extracting some parameters such as height, and ratios of the pulses at certain pressure levels, which are obtained from the cuff pressure. These parameters can be used to form profiles to relate to blood pressures. The effectiveness of the classification depends on many factors, such as environmental noise, white coat effect, heart rate variability and motion artifacts. In this paper, we investigate the effectiveness of a neuro-fuzzy approach to blood pressure classification. We employ feature extraction using principal component analysis, and fuzzy sets to classify pressure profiles.

Original languageEnglish (US)
Title of host publicationNAFIPS 2003 - 22nd International Conference of the North American Fuzzy Information Processing Society - NAFIPS Proceedings
EditorsEllen L. Walker
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-213
Number of pages6
ISBN (Electronic)0780379187, 9780780379183
DOIs
StatePublished - Jan 1 2003
Event22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 - Chicago, United States
Duration: Jul 24 2003Jul 26 2003

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
Volume2003-January

Other

Other22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003
CountryUnited States
CityChicago
Period7/24/037/26/03

Keywords

  • Arteries
  • Blood pressure
  • Computer science
  • Educational institutions
  • Feature extraction
  • Heart rate variability
  • Hypertension
  • Pressure measurement
  • Ultrasonic variables measurement
  • Working environment noise

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • Cite this

    Colak, S., & Isik, C. (2003). Fuzzy oscillometric blood pressure classification. In E. L. Walker (Ed.), NAFIPS 2003 - 22nd International Conference of the North American Fuzzy Information Processing Society - NAFIPS Proceedings (pp. 208-213). [1226783] (Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS; Vol. 2003-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAFIPS.2003.1226783