Study of Helical Antenna as a Bone Fracture Sensor

  • Serap Kiris
  • , Avse Incesu
  • , Muharrem Karaaslan
  • , Oguzhan Akgol
  • , Emin Unal

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

9 Citations (Scopus)

Abstract

Bone fracture is one of the most commonly seen health problems. In this study, it is aimed to detect bone fracture using a helical antenna placed without any contact with the bone. The basic idea of the study, which was carried out with a finger-type bone, is to observe the changes in the scattering parameters expressing the ratio of incident and reflected electromagnetic waves. The analysis of the system showed that the scattering parameters and the operating frequencies with broken and intact biological structures are different from each other. Besides, the operating frequency of the system is determined to vary according to the status of fracture in the bone and presented as a distinctive finding.

Original languageEnglish
Title of host publication4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728190907
DOIs
Publication statusPublished - Oct 22 2020
Externally publishedYes
Event4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Istanbul, Turkey
Duration: Oct 22 2020Oct 24 2020

Publication series

Name4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings

Conference

Conference4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020
Country/TerritoryTurkey
CityIstanbul
Period10/22/2010/24/20

Keywords

  • bone fracture
  • Helical antenna
  • microwave imaging
  • sensor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Signal Processing

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