Fig. 4: iPad error convergence across trials for the PS, AS, and MGS tasks. | npj Parkinson's Disease

Fig. 4: iPad error convergence across trials for the PS, AS, and MGS tasks.

From: Towards scalable screening for the early detection of Parkinson’s disease: validation of an iPad-based eye movement assessment system against a clinical-grade eye tracker

Fig. 4

Convergence for a latency and b amplitude. For each subject and measure, trial-level (i.e., saccade-level) errors were first averaged across tasks at each trial index to produce a single per-trial error sequence. The curve shows the mean absolute deviation from the full subject-level error as a function of the number of trials used. Vertical lines mark the trial counts at which the average error reached 50% (blue) and 90% (green) convergence toward the full subject-level error. Convergence was quantified as \(1-\frac{{E}_{n}}{{E}_{1}}\), where En is the mean deviation after n trials and E1 is the deviation using only the first trial.

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