An Optimization Technique to Extract Video Pulse Wave for Non-Contact Remote Monitoring of Autonomic Nervous System and Blood Pressure Variability

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

Abstract

A method for remote and non-contact measurement of autonomic nervous system indices and blood pressure information has been developed by extracting video pulse waves using an ordinary video camera. For robust and accurate measurement, it is necessary to separate the face and hand from the video image. In this study, we proposed a method to automatically set the optimal separation condition by combining face detection method and skin area detection method. It was ascertained that the proposed method was valid under sufficiently bright environment without other skin colored objects.

Original languageEnglish
Title of host publication2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages194-195
Number of pages2
ISBN (Electronic)9781538663097
DOIs
Publication statusPublished - 2018 Dec 12
Event7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, Japan
Duration: 2018 Oct 92018 Oct 12

Publication series

Name2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018

Other

Other7th IEEE Global Conference on Consumer Electronics, GCCE 2018
Country/TerritoryJapan
CityNara
Period18/10/918/10/12

Keywords

  • Downhill simplex method
  • Face detection
  • Optimization
  • Skin area detection
  • Video plethysmogram

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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