Twenty-Four-Hour Contact Lens Sensor Monitoring of Aqueous Humor Dynamics in Surgically or Medically Treated Glaucoma Patients

Figure 2

Examples of mean sine modeling of each group according to a robust nonlinear least-squares model based on a generalized Fourier transform (Section 3). Dots indicate the mean of observed values, and the solid line indicates the modeling function. Goodness of fit was evaluated by the sum of squares due to error (SSE), coefficient of determination (r²), adjusted coefficient of determination (adjusted r²), and root-mean-square error (RMSE). (a) Group 1 (Ex-PRESS) coefficients: a₀ = −10.15; a₁ = 12.45; b₁ = −99.1; ω = 0.021; goodness of fit: SSE: 1.089e + 05; r²: 0.921; adjusted r²: 0.920; RMSE: 19.58. (b) Group 2 (Hydrus) coefficients: a₀ = −10.15; a₁ = 12.45; b₁ = −99.1; ω = 0.025; goodness of fit: SSE: 1.089e + 05; r²: 0.921; adjusted r²: 0.920; RMSE: 19.58. (c) Group 3 (drugs) coefficients: a₀ = 47.43; a₁ = −93.41; b₁ = −99.03; ω = 0.021; goodness of fit: SSE: 7.21e + 04; r²: 0.976; adjusted r²: 0.975; RMSE: 15.93.

(a)

(b)

(c)