Synthesizing equivalent electric circuit for respiration and cardiac signals

Areen Allataifeh, Mahmoud Al Ahmad

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

Abstract

Modeling of the cardiac cycle and respiration signals helps to understand the characterization of these functions and determines any disorders of the heart and lungs function. In this research, Matlab software have been used to synthesize two equivalent electric circuit networks from signals of breathing and non-breathing. The signals are generated from a piezoelectric sensor placed on the chest. Prony toolbox have been used to extract transfer function that represents the signals, then Foster method have been utilized to synthesize the circuit networks. The equivalent circuits included five resonators with an inductance in series in the case of the heart beat signal. At breathing signal, the effect of the lungs added to the previous circuit a capacitor in series with the other components.

Original languageEnglish
Title of host publication4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538621066
DOIs
Publication statusPublished - Jan 31 2018
Event4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017 - Salmabad, Bahrain
Duration: Nov 29 2017Dec 1 2017

Publication series

Name4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Volume2018-January

Other

Other4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Country/TerritoryBahrain
CitySalmabad
Period11/29/1712/1/17

Keywords

  • Circuit Network synthesis
  • heart rate
  • modeling
  • piezoelectric sensor
  • respiration

ASJC Scopus subject areas

  • Education
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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