Sub-cubic millimeter intraocular pressure monitoring implant to enable genetic studies on pressure-induced neurodegeneration

Eric Y. Chow, Dohyuk Ha, Tse Yu Lin, Wilhelmine N. DeVries, Simon W.M. John, William J. Chappell, Pedro P. Irazoqui

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

Abstract

There is often a strong correlation between elevated levels of intraocular pressure (IOP) and glaucoma; however, the underlying mechanisms that lead to blindness are not well understood. The key may lie in the study of genetic factors which determine IOP and lead to glaucoma-related blindness. Mice are typically used for genetic research due to their short generation time and accelerated lifespan, manageability, the availability of established and pure lines, and the ability to manipulate the genome. Post genetic manipulation, IOP monitoring at regular intervals is needed and for large scale testing, on the order of thousands of mice, it is crucial to have at least a partially automated data collection scheme. This work presents a fully wireless system on a chip that measures 300 μm in its widest dimension, has a wireless microwave-based data and power link, and is capable of relaying digitized pressure recordings to a nearby base-station.

Original languageEnglish (US)
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages6429-6432
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duration: Aug 31 2010Sep 4 2010

Publication series

Name2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Other

Other2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/TerritoryArgentina
CityBuenos Aires
Period8/31/109/4/10

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics

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