Using individualized pulse transit time calibration to monitor blood pressure during exercise

In Cheol Jeong, Jeffrey Wood, Joseph Finkelstein

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

Abstract

Continuous blood pressure (BP) monitoring during exercise is necessary to ensure exercise safety, particularly in seniors and individuals with cardiovascular conditions. Pulse transit time (PTT) has been suggested for non-invasive BP monitoring however its implementation into clinical practice was hampered by lack of non-expensive practical solutions. The goal of this project was to introduce and to test a practical low-cost solution for using PTT to estimate BP during exercise. Our approach was based on obtaining 3 calibration points during different levels of exertion for each subject and utilizing the resulting individualized BP estimation equitation for patient-specific monitoring of BP during home-based exercise. Evaluation of the proposed approach showed that the mean difference between reference systolic BP (SBP) and estimated SBP was 0.0 mmHg. The optimal way to calculate PTT has been established by comparison of three main characteristic points used to derive PTT.

Original languageEnglish (US)
Title of host publicationInformatics, Management and Technology in Healthcare
PublisherIOS Press
Pages39-41
Number of pages3
ISBN (Print)9781614992752
DOIs
StatePublished - Jan 1 2013
EventInternational Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2013 - Athens, Greece
Duration: Jul 5 2013Jul 7 2013

Publication series

NameStudies in Health Technology and Informatics
Volume190
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

OtherInternational Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2013
CountryGreece
CityAthens
Period7/5/137/7/13

Keywords

  • Physiological signal processing
  • blood pressure
  • personal health systems
  • pulse transit time

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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