A bio-inspired vestibular system using MEMS sensors and 3D printing technology

Sajad Abolpour Moshizi*, Mohammad Amin Raoufi, Hadi Ahmadi, Andrew Belford, Shuying Wu, Mohsen Asadnia

*Corresponding author for this work

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

Abstract

In this study, an innovative biomechanical device inspired by the human vestibular system is presented. In order to mimic haircell sensors inside the semicircular canals (SCCs), a microelectromechanical system (MEMS) flow sensor was developed. A three-dimensional (3D) printed SCC was fitted with the sensor, and analyzed at various angular accelerations and frequencies of 0.5 Hz to 1.5 Hz. To evaluate the experimental results, a computational model was developed to simulate flow dynamics inside the SCC and measure the sensor output due to the SCC movement. The results obtained advance the development of balance sensory system, and could facilitate the design of a low-cost and commercially viable medical device with significant health benefits and economic potential.

Original languageEnglish
Title of host publication2019 13th International Conference on Sensing Technology (ICST)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781728148076, 9781728146317
ISBN (Print)9781728148083
DOIs
Publication statusPublished - 2019
Event13th International Conference on Sensing Technology, ICST 2019 - Sydney, Australia
Duration: 2 Dec 20194 Dec 2019

Publication series

Name
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Conference

Conference13th International Conference on Sensing Technology, ICST 2019
CountryAustralia
CitySydney
Period2/12/194/12/19

Keywords

  • hair cell sensor
  • piezoresistive flow sensor
  • MEMS
  • vestibular system
  • bio-inspired devices

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    Moshizi, S. A., Raoufi, M. A., Ahmadi, H., Belford, A., Wu, S., & Asadnia, M. (2019). A bio-inspired vestibular system using MEMS sensors and 3D printing technology. In 2019 13th International Conference on Sensing Technology (ICST) (pp. 1-6). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICST46873.2019.9047698