S. A. Moshizi, M. Raoufi, H. Ahmadi, Andrew Belford, Shuying Wu, M. Asadnia
{"title":"A bio-inspired vestibular system using MEMS sensors and 3D printing technology","authors":"S. A. Moshizi, M. Raoufi, H. Ahmadi, Andrew Belford, Shuying Wu, M. Asadnia","doi":"10.1109/ICST46873.2019.9047698","DOIUrl":null,"url":null,"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.","PeriodicalId":344937,"journal":{"name":"2019 13th International Conference on Sensing Technology (ICST)","volume":"15 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 13th International Conference on Sensing Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICST46873.2019.9047698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.