Document Type
Thesis
Date of Award
5-31-2026
Degree Name
Master of Science in Biomedical Engineering - (M.S.)
Department
Biomedical Engineering
First Advisor
Tara L. Alvarez
Second Advisor
Xiaobo Li
Third Advisor
Chang Yaramothu
Fourth Advisor
Farzin Hajebrahimi
Abstract
Binocular vision relies on the coordination of near response triad composed in part by the vergence and accommodative systems. Binocular dysfunctions linked to these systems impact the quality of life of those affected by complicating day-to-day tasks and leading to further health concerns. Clinical evaluations that diagnose dysfunctions and tailor therapies rely on subjective methods, creating a need for a reliable, quantitative, measurement tool. This is achieved using a haploscope, a tool that quantitatively measures and observes binocular vision to identify deficiencies within the eye. Modernization of a haploscope system, measurement of the Heath and Maddox components of the visual system, and assessment of the reliability and feasibility of the experimental procedure are conducted. Five binocularly normal participants perform test-retest sessions using the modernized haploscope with temporally aligned vergence and accommodation data collection. Results demonstrate a high degree of hardware reliability, with 99.2% success in temporal synchronization between systems. Analysis confirms that movement morphology is similar across sessions establishing the experimental and system repeatability. However, an auto-triggering issue remains persistent after corrective action impacting aspects of experimental sessions. Moreover, the analysis software utilized proves to be unreliable, adding artifacts to data visualizations. While the system successfully stimulates and records accommodative and vergence movements with high repeatability, current clinical feasibility is limited by internal hardware triggers and analysis software constraints.
Recommended Citation
Chabuel, Jacob, "Evaluation of medical instrument reliability for the heath and maddox components of the accommodative-vergence system" (2026). Theses. 3550.
https://digitalcommons.njit.edu/theses/3550
