Silicone Eye Testing Platform and IOP Prediction Program Development for Double Coil Contact Lens Sensor

Speaker :
Ms Mei Shan CHAN
Department of Mechanical and Aerospace Engineering, HKUST
Date : 14 Nov 2018 (Wed)
Time : 10:30 am
Venue : Room 2548, HKUST (2/F., Lift #27/28)


A double coil contact lens sensor (CLS) was designed to continuously monitor human intraocular pressure (IOP). The double coil contact lens sensor (CLS) could track the corneal curvature change and human eye environment noise by using 2 embedded passive inductor-capacitor (LC) resonators. The CLS signal could be affected by IOP, ocular movement or eye tissue dielectric influence etc. Due to the complexity of human eye environment, correlation of CLS frequencies signal and IOP is studied on a model eye testing platform to perform accurate IOP prediction based on CLS signal.

In this thesis, a silicone eye testing platform was designed to be a constant which provide similar environment as on human eye. When CLS was being applied on silicone eye, post lens tear film could be formed. CLS could smoothly move on the silicone eye as in human eye condition. CLS was tested on silicone eye, the change of both resonance frequencies is correlated with the change in silicone eye radius of curvature and IOP in different magnitude. The relationship between CLS frequencies signal and silicone eye IOP was studied and recorded.

An IOP prediction program was developed to predict human IOP with input of human trial CLS frequencies signal by using database of silicone eye. Results showed that maximum prediction error of human IOP is less than ±3mmHg. The relationship of CLS frequency signals and human IOP was studied and found. Hence, the objective of this thesis had been achieved by enabling feasibility of double coil contact lens sensor (CLS) for monitoring human IOP.

(Supervisor: Prof. David Chuen-Chun Lam)