Algorithm of oscillometric blood pressure measurement applied on microcontroller

David Angyal, Aniko Vagner, I. Juhász

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

Abstract

Blood pressure measurement is a very common technique to monitor the condition of a patient to perform clinical studies of certain illnesses or classify the blood hypertension. On the market a number of blood pressure measurement devices are available, among them the oscillometric devices can be easily used under home circumstances. Our oscillometric blood pressure measurement algorithm was implemented for a microcontroller environment. Our goal is to measure the blood pressure periodically during a 24-hour interval, store the records and transmit them to an application running on a PC, which visualizes the records and make it possible to interactivelly examine the records. In this article we introduce the implementation of the main steps of our oscillometric blood pressure algorithm with their difficulties.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
Volume2018-January
ISBN (Electronic)9781538612088
DOIs
Publication statusPublished - Mar 26 2018
Event2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018 - Eger, Hungary
Duration: Jan 18 2018Jan 19 2018

Other

Other2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018
CountryHungary
CityEger
Period1/18/181/19/18

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Keywords

  • automated blood pressure measurement
  • biometrical signal processing
  • micro-controller

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Angyal, D., Vagner, A., & Juhász, I. (2018). Algorithm of oscillometric blood pressure measurement applied on microcontroller. In 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018 (Vol. 2018-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FIOT.2018.8325602