RESEARCH OF A BIOTECHNICAL SYSTEM FOR THE DIAGNOSIS OF BINOCULAR VISION DISORDERS
Abstract
This study is devoted to evaluating the effectiveness of biotechnical diagnostic tools used for the detection of binocular vision disorders. The functional capabilities of both conventional and modern technologies, including Synoptophore, Video Oculography, Eye-tracking, and Virtual Reality systems, were analyzed. A comparative assessment was carried out based on diagnostic accuracy, ease of use, and technical characteristics. The results demonstrated the advantages of modern digital technologies in the early detection of binocular vision disorders.
References
1. American Academy of Ophthalmology. (2023). Basic and Clinical Science Course: Pediatric Ophthalmology and Strabismus. San Francisco, CA: AAO.
2. Ciuffreda, K. J., & Ludlam, D. P. (2019). Objective diagnostic and interventional vision test protocols for binocular vision. Vision Development & Rehabilitation, 5(2), 112–124.
3. Duchowski, A. T. (2017). Eye Tracking Methodology: Theory and Practice (3rd ed.). Cham, Switzerland: Springer.
4. Eggert, T. (2020). Eye movement recordings: Methods and clinical applications. Journal of Neurology, 267(1), 12–18.
5. Howard, I. P., & Rogers, B. J. (2018). Perceiving in Depth: Basic Mechanisms (2nd ed.). Oxford, UK: Oxford University Press.
6. Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & Van de Weijer, J. (2022). Eye Tracking: A Comprehensive Guide to Methods and Measures. Oxford, UK: Oxford University Press.
7. Leigh, R. J., & Zee, D. S. (2015). The Neurology of Eye Movements (5th ed.). New York, NY: Oxford University Press.
8. Patel, V. L., Shortliffe, E. H., Stefanelli, M., Szolovits, P., Berthold, M. R., Bellazzi, R., & Abu-Hanna, A. (2021). The coming of age of artificial intelligence in medicine. Artificial Intelligence in Medicine, 120, 102157.
9. Schor, C. M., & Ciuffreda, K. J. (2017). Vergence Eye Movements: Basic and Clinical Aspects. Boston, MA: Butterworth-Heinemann.
10. Sharma, P., & Saxena, R. (2021). Clinical evaluation and management of binocular vision disorders. Indian Journal of Ophthalmology, 69(4), 813–821.
11. Slater, M., & Sanchez-Vives, M. V. (2019). Enhancing our lives with immersive virtual reality. Frontiers in Robotics and AI, 6, 74.
12. Steinman, S. B., Steinman, B. A., & Garzia, R. P. (2020). Foundations of Binocular Vision: A Clinical Perspective. New York, NY: McGraw-Hill Education.
13. Wang, Y., Wang, J., & Li, X. (2022). Application of virtual reality technology in ophthalmic diagnosis and rehabilitation. Healthcare Technology Letters, 9(3), 84–90.
14. World Health Organization. (2023). World Report on Vision. Geneva, Switzerland: World Health Organization.
15. Yildirim, C., & Ozturk, H. (2024). Modern biotechnical systems for eye movement analysis and binocular vision assessment. Biomedical Engineering Advances, 8, 100112.
