Methods for analysis of hemodynamic and metabolic risks factors in hypertension

Priya R. Mohan, Timothy S. Phan, John K.J. Li

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

Abstract

Hypertension has its contribution from atherosclerosis or metabolic factors. It is commonly diagnosed with a sphygmomanometer (blood pressure cuff) which only outputs systolic (Ps) and diastolic (Pd) pressures. Hypertensive patients are then administered oral medication whose effect on arterial compliance (C), an index of vascular stiffness, cannot be accurately determined merely from Ps and Pd values. The underlying blood pressure waveforms are normally obtained clinically through catheterization. Vascular stiffness index (VSI) can then be computed from pulse waveform analysis (PWA). However, there are controversies as to whether a constant single-valued C alone is sufficient for assessing VSI. We investigated the time-varying, pressure-dependent characteristics of arterial compliance (C(P)) with a nonlinear model of the arterial system during normal, induced hypertension and vasodilator-treated conditions. Results show that C(P) differs from constant compliance C and that C(P) can rapidly reflect underlying beat-to-beat variations in arterial compliance and can effectively serve as a reliable index of VSI. It can be used for accurate evaluation of the efficacy of blood pressure altering drugs.

Original languageEnglish (US)
Title of host publication2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479983605
DOIs
StatePublished - Jun 2 2015
Event2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 - Troy, United States
Duration: Apr 17 2015Apr 19 2015

Publication series

Name2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

Other

Other2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
Country/TerritoryUnited States
CityTroy
Period4/17/154/19/15

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Cancer Research
  • Cell Biology
  • Molecular Medicine
  • Biomedical Engineering
  • Control and Systems Engineering

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