Background and Purpose: The assessment of ocular motor control through the manipulation of diverse sensory stimuli can facilitate the diagnosis of dizziness. However, the testing process typically encompasses a single rotational axis. This study aims to investigate the performance of ocular motor control under multi-axis neck rotation postures. To verify the data quality performance and reliability of the custom-made ocular motor features detection system, validate the consistency of system eye movement parameters, and investigate the effect of different neck plane positions on tracking performance. Methods: A total of seven healthy volunteers participated in this study. The study involved ocular motor tracking tasks in different neck positions with all seven subjects, A total of seven subjects were examined, comprising neutral neck posture, left lateral flexion posture, right lateral flexion posture, neck extension posture, neck flexion posture, left neck torsion posture, and right neck torsion posture. The study evaluated eye movement parameters in different planes, including Gain (representing pursuit speed), SPNTD (representing pursuit differences across planes), Accuracy (representing pursuit accuracy), and Latency (representing pursuit latency), as well as the reliability of these parameters. The reliability of the parameters was verified using the intraclass coefficient (ICC). Non-parametric tests (Friedman test) were used to verify the performance of ocular motor tracking in different neck positions, and post-hoc analysis (Wilcoxon sign test) was used to verify statistical differences.
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Analyzied the reliability of custom-made ocular motor detectation system
Timeframe: From enrollment to the end of research at 1 day.