Optimizing non-invasive blood pressure estimation using pulse transit time

In Cheol Jeong, Joseph Finkelstein

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

Abstract

Continuous blood pressure (BP) monitoring during exercise is an important means to ensure exercise safety, particularly in seniors and individuals with various comorbidities. Use of automated BP monitors is limited during exercise. 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 systolic BP 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 publicationMEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
PublisherIOS Press
Number of pages1
Edition1-2
ISBN (Print)9781614992882
DOIs
StatePublished - Jan 1 2013
Event14th World Congress on Medical and Health Informatics, MEDINFO 2013 - Copenhagen, Denmark
Duration: Aug 20 2013Aug 23 2013

Publication series

NameStudies in Health Technology and Informatics
Number1-2
Volume192
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other14th World Congress on Medical and Health Informatics, MEDINFO 2013
CountryDenmark
CityCopenhagen
Period8/20/138/23/13

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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