NON-INVASIVE OCULAR HEALTH MONITORING USING AR/VR TECHNOLOGY: A NOVEL APPROACH USING POLARIZATION MEASUREMENTS
Keywords:
Ocular Health Monitoring, Polarization Measurements, Augmented Reality, Virtual Reality, Non-invasive DiagnosticsAbstract
This comprehensive article explores a novel approach to ocular health monitoring through the integration of polarization measurement techniques with AR/VR technology. The article demonstrates how modern AR/VR devices' built-in capabilities, including display illumination and eye-tracking systems, can be leveraged for non-invasive eye disease detection. By leveraging polarization measurements through AR/VR devices, this article presents a groundbreaking method for early detection of various ocular conditions. The integration of polarization-sensitive imaging with consumer AR/VR technology demonstrates significant potential for revolutionizing preventive eye care, combining accessibility with high diagnostic accuracy and patient comfort. Through the systematic analysis of ocular polarization signatures using these devices, healthcare providers can potentially detect early signs of retinal disorders months before conventional methods, while maintaining the convenience of regular AR/VR device usage.
References
Catalyst Creative Solutions "Non-invasive Diagnosis Market Size, Growth & & Future Outlook," LinkedIn Pulse, Jan. 2024. [Online]. Available: https://www.linkedin.com/pulse/non-invasive-diagnosis-market-size-growth-oovaf/
Zhenyu Wei, et al., "Development and multicenter validation of machine learning model for early detection of fungal keratitis," Journal of Ophthalmic and Vision Research, 2023. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC9869416/
Shelby E Temple, et al., "Perceiving polarization with the naked eye: characterization of human polarization sensitivity," Proc Biol Sci, 2015. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC4528539/
Payal Sangani, et al., "Macular Pigment Assessment in Indian Population Using Degree of Polarization Threshold: Impact of Diet on Macular Pigment Density." Transl Vis Sci Technol, 2024. [Online]. Available:https://pmc.ncbi.nlm.nih.gov/articles/PMC10981160/
Abdul Khader Jilani Saudagar, et al., "Mediverse Beyond Boundaries: A Comprehensive Analysis of AR and VR Integration in Medical Education for Diverse Abilities" Journal of Disability Research, 2024. [Online]. Available: https://www.scienceopen.com/hosted-document?doi=10.57197/JDR-2023-0066
Lina Gao, et al., "Wearable Biosensor Smart Glasses Based on Augmented Reality and Eye Tracking," Sensors, 2024. [Online]. Available: https://www.mdpi.com/1424-8220/24/20/6740
Stewart Muchuchuti, et al., "Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review," J. Imaging 2023. [Online]. Available:https://www.mdpi.com/2313-433X/9/4/84
Marco Zeppieri, et al., "Novel Approaches for the Early Detection of Glaucoma Using Artificial Intelligence," Life, 2024. [Online]. Available: https://www.mdpi.com/2075-1729/14/11/1386
Florian Beer, et al., "Ultrahigh Resolution Polarization Sensitive Optical Coherence Tomography of the Human Cornea with Conical Scanning Pattern and Variable Dispersion Compensation," Applied Sciences 2019. Available: https://www.researchgate.net/publication/336412483_Ultrahigh_Resolution_Polarization_Sensitive_Optical_Coherence_Tomography_of_the_Human_Cornea_with_Conical_Scanning_Pattern_and_Variable_Dispersion_Compensation
Bhim B. Rai, et al., "TEarly diabetic eye damage: Comparing detection methods using diagnostic power," Survey of Ophthalmology, 2024. Available: https://www.sciencedirect.com/science/article/pii/S0039625723001145
Xiaobo Li, et al., "Polarimetric Imaging via Deep Learning: A Review," Remote Sensing, 2023. Available: https://www.mdpi.com/2072-4292/15/6/1540
Andrea Lastrucci, et al., "Exploring Augmented Reality Integration in Diagnostic Imaging: Myth or Reality?," Diagnostics (Basel). 2024. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC11240696/
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