Proposal of a cheap Pulse Wave Velocity (PWV) meter using photoplethysmography

Goutam Chakraborty, Emiko Ikeda, Hideyuki Takahashi, Tetsuo Kinoshita, Cedric Bornand

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

Abstract

When heart pumps oxygenated blood through artery, the arterial pulse spreads the whole body through arterial tree. The rate of this pulse is the pulse rate, which is around 70 per minute. The speed at which this pulse spreads over the arterial tree is an important index to measure the stiffness of the arterial wall, which becomes stiffer as the body ages. Faster the pulse wave moves, stiffer is the artery wall. Thus, Pulse Wave Velocity (PWV) is a measure of the artery wall stiffness. In this work, we propose a cheap device to measure PWV, using Photoplethysmography sensors. Pulse wave signals, from two locations of the body, were collected, transferred to a tablet using blue-tooth communication, and analyzed. Accurate delay measurement of the pulse wave, collected at two different points, is necessary for the accuracy of PWV measurement. Through experiments, on different subjects, we have shown that the proposed system could measure PWV accurately.

Original languageEnglish
Title of host publication2018 12th International Conference on Sensing Technology, ICST 2018
PublisherIEEE Computer Society
Pages293-298
Number of pages6
ISBN (Electronic)9781538651476
DOIs
Publication statusPublished - 2019 Jan 4
Event12th International Conference on Sensing Technology, ICST 2018 - Limerick, Ireland
Duration: 2018 Dec 42018 Dec 6

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
Volume2018-December
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Conference

Conference12th International Conference on Sensing Technology, ICST 2018
CountryIreland
CityLimerick
Period18/12/418/12/6

Keywords

  • Arteriosclerosis
  • Photoplethysmography
  • Pulse Wave Velocity (PWV)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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