Candidate
Luyao Chen
Title
Smartphone-enabled Biotelemetric System For a Smart Contact Lens
Supervisor
Safieddin Safavi-Naeini and George Shaker (Adjunct)
Abstract
Diabetes describes a disordered metabolic state with an overabundance of glucose in the bloodstream, due to insufficient production or utilization of insulin to allow tissue cells from consuming glucose. People with unmanaged diabetes could lead to many serious complications such as heart disease, stroke, coma, kidney failure, blindness, amputation, and premature death. Diabetes can be managed by monitoring the blood glucose level, and control the glucose level by taking insulin, and exercising a carefully planned lifestyle with appropriate diet and physical activities. An elegant solution for glucose monitoring is the integration of electrochemical-based glucose sensor and microelectronics within a contact lens, namely a smart contact lens, which can measure the tear glucose in the eye, and correlate it to blood glucose. Currently, there is no functional smart contact lens devices for glucose detection in the market.
This thesis focuses on providing proof of concept prototypes for implementing energy harvesting and wireless data transmission on a smart contact lens. An all-in-one solution is proposed to harvest energy from a smartphone, and use the same smartphone to support glucose data extraction by backscattering. The appropriate prototype architectures are justified based on a system specification estimated from related works. The prototypes are designed in simulation, and then fabricated on PCBs using off-the-shelf components and equipment. Measurements are conducted on the prototypes to evaluate their performance against the initial assessment of requirements from related works.