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A study of photoplethysmography intensity ratio in hypertension

  • Yang Chen
  • , Ye Zhu
  • , Heather T. Ma*
  • , Hailin Huang
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Hypertension is one of the most common factors causes the death of cardiovascular disease, which may damage the artery wall and change the arterial function. The photoplethysmography(PPG) intensity radio (PIR), as a new indicator which was calculated by the light intensity of PPG, has been proved to be strongly correlated with the vascular tone function. Therefore, PIR becomes a potential predictive factor for hypertension. In this study, in order to investigate the relationship between blood pressure (BP) and PIR, a seven days experiment was performed on 30 subjects. The subjects were divided into two groups (normal control and hypertension) according to their BP level, features were extracted from the PPG signal from each trial and investigated including PIR, diastolic time, systolic time and heart rate. The results show significant difference of these features between these two groups, e.g., the mean PIR of patients with hypertension is 0.5169±0.3814, where it is 0.4066±0.2586 in normal control subjects. The results demonstrate that PIR is strongly associated with BP, which has the potential to provide a possible way for early hypertension prediction, and also may be a factor improving the accuracy of cuffless BP estimation.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages317-320
Number of pages4
ISBN (Electronic)9781467389594
DOIs
StatePublished - 14 Dec 2016
Externally publishedYes
Event2016 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2016 - Siem Reap, Cambodia
Duration: 6 Jun 20169 Jun 2016

Publication series

Name2016 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2016

Conference

Conference2016 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2016
Country/TerritoryCambodia
CitySiem Reap
Period6/06/169/06/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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