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 the human eye environment, correlation of the CLS frequency signals and IOP is studied on a model eye testing platform, in order to perform accurate IOP predictions based on CLS signals.

In this thesis, a silicone eye testing platform was designed to provide a similar environment to a human eye, and to ensure minimal variation. When the CLS was being applied on the silicone...[ Read more ]

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 the human eye environment, correlation of the CLS frequency signals and IOP is studied on a model eye testing platform, in order to perform accurate IOP predictions based on CLS signals.

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

An IOP prediction program was developed to predict human IOP with input of a human trial CLS frequency signals by using a database of the silicone eye. Results showed that maximum prediction error of human IOP is ±10.4 mmHg. The relationship of CLS frequency signals and human IOP was studied and found.