A. Kiourti, Zheyu Wang, Cedric W. L. Lee, H. Scwerdt, J. Chae, J. Volakis
{"title":"A wireless neurosensing system for remote monitoring of brain signals","authors":"A. Kiourti, Zheyu Wang, Cedric W. L. Lee, H. Scwerdt, J. Chae, J. Volakis","doi":"10.1109/EUCAP.2014.6902571","DOIUrl":null,"url":null,"abstract":"We propose a wireless, fully-passive neurosensing system for remote monitoring of brain signals. The system comprises a neurosensor, an implanted antenna matched to the sensor, an external RF interrogator antenna, and integrated RF circuits. To enable continuous and reliable sensor monitoring using a nearby mobile device (cell phone, tablet, etc), the neurosensing system is further interfaced with a wearable body area network (BAN). Design and link budget issues are discussed, highlighting the challenges of detecting actual electrocorticographic (ECoG) signals of tens of μVpp.","PeriodicalId":22362,"journal":{"name":"The 8th European Conference on Antennas and Propagation (EuCAP 2014)","volume":"19 1","pages":"3452-3453"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 8th European Conference on Antennas and Propagation (EuCAP 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUCAP.2014.6902571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
We propose a wireless, fully-passive neurosensing system for remote monitoring of brain signals. The system comprises a neurosensor, an implanted antenna matched to the sensor, an external RF interrogator antenna, and integrated RF circuits. To enable continuous and reliable sensor monitoring using a nearby mobile device (cell phone, tablet, etc), the neurosensing system is further interfaced with a wearable body area network (BAN). Design and link budget issues are discussed, highlighting the challenges of detecting actual electrocorticographic (ECoG) signals of tens of μVpp.