Electrochemical impedance spectroscopy wearable systems for reporting biomarker modulation in sweat

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dc.contributor.advisorPrasad, Shalini
dc.contributor.advisorBhatia, Dinesh
dc.contributor.advisorZhang, Jie
dc.contributor.committeeMemberBalsara, Poras T.
dc.contributor.committeeMemberMuthukumar, Sriram
dc.creatorSankhala, Devangsingh
dc.date.accessioned2024-03-19T19:12:35Z
dc.date.available2024-03-19T19:12:35Z
dc.date.created2021-12
dc.date.issuedDecember 2021
dc.date.submittedDecember 2021
dc.date.updated2024-03-19T19:12:36Z
dc.description.abstractThe commercial wearable device market today majorly consists of activity trackers and smartwatches: that enable the monitoring of user states such as walking, sleeping, and exercising using sensors relying on physically measurable quantities. These devices are the ones that make a huge impact on the lives of people suffering from chronic illnesses and their quality of life. Integrating a sweat-based electrochemical biosensor with a wearable device opens new avenues in health management and decision support systems for healthcare providers as they can provide a physiologically relevant and clinically acceptable output. Integrating a glucose-sensing sweat biosensor adds more value in the lives of diabetics, who require support in terms of balancing quality of life using good diet and exercise routines. This work is a methodology of understanding the aspects of making such a wearable platform, starting from understanding the needs of the wearable device user population. The current market technology is thoroughly studied to pick relevant aspects and an electronic front end is designed within the bounds of good design practice to enable good accuracy, ease of use, and 1-week battery life. This in turn is utilized to collect human subject data to get an understanding of the performance of the sensors in varying environmental conditions and user states. Finally, mathematical modeling approaches are used to build correlations between the outcome to be presented to the user against change in the recorded data features as per the human subject experimentation.
dc.format.mimetypeapplication/pdf
dc.identifier.uri
dc.identifier.urihttps://hdl.handle.net/10735.1/10071
dc.language.isoen
dc.subjectEngineering, Electronics and Electrical
dc.subjectBiology, Physiology
dc.subjectComputer Science
dc.titleElectrochemical impedance spectroscopy wearable systems for reporting biomarker modulation in sweat
dc.typeThesis
dc.type.materialtext
local.embargo.lift2023-12-01
local.embargo.terms2023-12-01
thesis.degree.collegeSchool of Engineering and Computer Science
thesis.degree.departmentElectrical Engineering
thesis.degree.grantorThe University of Texas at Dallas
thesis.degree.namePHD

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