Mathematical Model for Enhancement of Visual Acuity through Electronic System Biofeedback

Om Prakash Fageria; Sangeeta Sharma

Om Prakash Fageria DLCEO, District Literacy and Continuing Education Office, Jaipur, Rajasthan, India. http://orcid.org/0000-0002-3377-362X
Sangeeta Sharma Principal, Mahatma Gandhi Government School, Hirnoda, Jaipur, Rajasthan, India.

Abstract

The majority of people across the world have issues with their vision caused by human ocular refractive errors. Myopia affects 51% of adults, hyperopia affects 38% of adults, and astigmatism affects 27% of adults in the United States. This frequency is much higher in the adult population. 42 percent of global causes of visual impairment are attributable to failure to take prophylactic action against these disorders. This percentage includes presbyopia in adulthood. Visual strain brought on by an excessive use of electronic devices has led to the creation of new techniques and the development of various solutions, including corrective lenses, contact lenses, laser and non-laser refractive surgical operations, and so on.

Using a signal electromyography feedback, we describe a technique that may be used to increase a person's visual acuity. An electronic controlled lens with a power range of -10 to +10 diopters was used in its implementation, along with a LabVIEW interface-connected electromyographic signal gathering equipment. Five separate persons were given the Snellen test to evaluate the proposed system, giving each of them twenty opportunities to complete the exam. Consequently, it is feasible to enhance visual acuity up to 20/20 with an accuracy of 90 percent utilising a biofeedback system, together with other spherical ocular refraction errors such presbyopia, farsightedness, and myopia.

How to cite this article: Fageria OP, Sharma S. Mathematical Model for Enhancement of Visual Acuity through Electronic System Biofeedback. J Adv Res Appl Math Stat 2022; 7(1&2): 12-17.

DOI: https://doi.org/10.24321/2455.7021.202204

References

1. Katzy PM, Kruger. The Human Eye as an Optical System, Lippincott Williams & Wilkins 2004; 1(33).
2. Snellen H. Test-types for the determination of the acuteness of vision, Utrecht: P. W. van de Weijer, 1962.
3. Li M. Proceedings of the 15th International Conference on Man–Machine–Environment System Engineering,
de Design and Evaluation of Human-Machine Interface of Simulation Training System, New York, 2015.
4. Hasan N, Banerjee A, Kimy CH et al. Tunable-focus lens for adaptive eyeglasses, Optics Express 2017; 25.
5. Contestabile M, Recupero S, Palladino D et al. A new method of biofeedback in the management of low visión, Eye 2002; 16(4): 472-480.
6. Vingolo E, Salvatorey SS. Cavarretta, Low-Vision Rehabilitation by Means of MP-1 Biofeedback Examination in Patients with Different Macular Diseases: A Pilot Study. Applied Psychophysiology and Biofeedback 2009; 34 (2): 1 27-133.
7. Watson G, Schuchard R, Del’Auny EW et al. Effects of preferred retinal locus placement on text navigation and development of advantageous trained retinal locus. Journal of Rehabilitation Research & Development 2006; 43(6): 761-770.