Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Departments and Schools
  3. Faculty of Engineering
  4. Department of Electrical and Computer Engineering
  5. EE 4BI6 Electrical Engineering Biomedical Capstones
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/14415
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTirtariyadi, Ryanen_US
dc.date.accessioned2014-06-18T18:13:13Z-
dc.date.available2014-06-18T18:13:13Z-
dc.date.created2009-09-17en_US
dc.date.issued2009-04-27en_US
dc.identifier.otheree4bi6/14en_US
dc.identifier.other1013en_US
dc.identifier.other1008564en_US
dc.identifier.urihttp://hdl.handle.net/11375/14415-
dc.description.abstract<p>Near-Infrared spectroscopy has been used reliably for glucose identification and quantification in chemistry lab environments. With an appropriate processing algorithm, it should be possible to measure glucose concentration in blood non-invasively. The goal of this project is to develop a data-collecting system that can be used with a range of IR photo detectors. The primary concern is to eliminate as much noise and external interference as possible, in as high of a capture resolution as possible to allow for more detailed analysis. By utilizing a combined analog current to digital converter packaged in a single chip, noise can be minimized and the transference of data can be better preserved due to the higher resilience of digital information towards noise. The cleaner signal combined with the high resolution ADC makes for an ideal experimentation setup for further research in this topic, as well as other related optical sensing applications. The device should be able to stream 20-bit of live sensor data in real-time through a serial port (or USB) into a computer for further analysis in MATLAB or LabView. The theory behind the device, hardware design, experimental results, efficacy and further research potentials of the device will be discussed.</p>en_US
dc.subjectGlucometeren_US
dc.subjectNear-Infrareden_US
dc.subjectOpticalen_US
dc.subjectNon-Invasiveen_US
dc.subjecthuman-computer interfacingen_US
dc.subjecthigh-resolutionen_US
dc.subjectdata collectionen_US
dc.subjectcustomizable sensoren_US
dc.subjectBiomedicalen_US
dc.subjectElectrical and Computer Engineeringen_US
dc.subjectBiomedicalen_US
dc.titleOptical Glucometer Interface: Developing a Data Collecting System for Near-Infrared Biosensing Applicationsen_US
dc.typecapstoneen_US
Appears in Collections:EE 4BI6 Electrical Engineering Biomedical Capstones

Files in This Item:
File SizeFormat 
fulltext.pdf
Open Access
10.41 MBAdobe PDFView/Open
Show simple item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue