GearVision: Smartphone Based Head Mounted Perimeter For Detection Of Visual Field Defects

Sircar, Tushar; Mishra, Aarshee; Bopardikar, Ajit S.; Tiwari, Vijay N.

doi:10.1109/embc.2018.8513574

Cited by 12 publications

(6 citation statements)

References 3 publications

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“…With the development of VR technology, the head-mounted eye-tracking perimeter VirtualEye was launched in 2014, which validated the concepts of head-mounted VR perimeter that used eye-tracking-based visual grasp instead of manual response [ 8 ]. Smartphone-based head-mounted perimeters were later introduced in 2017 and 2018 and showed promising results [ 3 , 9 , 10 ]. Perimeters based on VR technique were developed rapidly in recent years [ 11 , 12 , 13 , 14 ].…”

Section: Discussionmentioning

confidence: 99%

Application and Validation of LUXIE: A Newly Developed Virtual Reality Perimetry Software

Chen

Yeh

Cheng

et al. 2022

JPM

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Purpose: To report the application of LUXIE and validate its reliability by comparing the test results with those of Humphrey Field Analyzer 3 (HFA3). Methods: In this pilot study, we prospectively recruited participants who had received HFA3 SITA standard 30-2 perimetry and tested them with LUXIE on the same day. LUXIE is a software designed for visual field testing cooperating with HTC Vive Pro Eye, a head-mounted virtual reality device with an eye-tracking system. The test stimuli were synchronized with eye movements captured by the eye-tracking system to eliminate fixation loss. The global, hemifields, quadrants, glaucoma hemifield test (GHT) sectors, and point-by-point retinal sensitivities were compared between LUXIE and HFA3. All participants were asked to fill out a post-test user survey. Results: Thirty-eight participants with 65 eyes were enrolled. LUXIE demonstrated good correlations with HFA3 in global (r = 0.81), superior hemifield (r = 0.77), superonasal, superotemporal, and inferonasal quadrants (r = 0.80, 0.78, 0.80). The user survey showed that participants were more satisfied with LUXIE in operating difficulty, comfortability, time perception, concentration, and overall satisfaction. Conclusions: LUXIE demonstrated good correlations with HFA3. Fixation loss could be eliminated in LUXIE with the eye-tracking system. The application of virtual reality devices such as the HTC Vive Pro Eye makes telemedicine and even home-based self-screening visual field tests possible. Key Messages: 1. Virtual reality perimetry is a developing technology that has the potential in telemedicine, and home self-screening visual field tests. 2. LUXIE demonstrated good correlations with Humphrey Field Analyzer 3 in visual field retinal sensitivities.

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Section: Discussionmentioning

confidence: 99%

Application and Validation of LUXIE: A Newly Developed Virtual Reality Perimetry Software

Chen

Yeh

Cheng

et al. 2022

JPM

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“…For glaucoma, AI can predict progression earlier than conventional methods, but incorporation into the health system is needed so that it makes the most out of the benefits of AI [ 74 ]. AI can act as a form of teleophthalmological care for glaucoma, collecting data from devices that the patients use at home such as self-monitoring of intraocular pressure tonometry [ 75 ], smartphone-based head-mounted perimeter for detection of VF defects [ 76 ], ophthalmoscopic applications for smartphones and processing this data to result in a diagnosis or progression risk percentage [ 77 ]. Effective triage of the patients and facilitation of glaucoma clinical practice constitute fields that telemedicine is expected to thrive when Glaucoma AI algorithms meet regulatory approval [ 78 ].…”

Section: Reviewmentioning

confidence: 99%

Teleophthalmology and Artificial Intelligence As Game Changers in Ophthalmic Care After the COVID-19 Pandemic

Nikolaidou¹,

Tsaousis

2021

Cureus

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The current COVID-19 pandemic has boosted a sudden demand for telemedicine due to quarantine and travel restrictions. The exponential increase in the use of telemedicine is expected to affect ophthalmology drastically. The aim of this review is to discuss the utility, effectiveness and challenges of teleophthalmological new tools for eyecare delivery as well as its implementation and possible facilitation with artificial intelligence. We used the terms: "teleophthalmology," "telemedicine and COVID-19," "retinal diseases and telemedicine," "virtual ophthalmology," "cost effectiveness of teleophthalmology," "pediatric teleophthalmology," "Artificial intelligence and ophthalmology," "Glaucoma and teleophthalmology" and "teleophthalmology limitations" in the database of PubMed and selected the articles being published in the course of 2015-2020. After the initial search, 321 articles returned as relevant. A meticulous screening followed and eventually 103 published manuscripts were included and used as our references. Emerging in the market, teleophthalmology is showing great potential for the future of ophthalmological care, benefiting both patients and ophthalmologists in times of pandemics. The spectrum of eye diseases that could benefit from teleophthalmology is wide, including mostly retinal diseases such as diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration but also glaucoma and anterior segment conditions. Simultaneously, artificial intelligence provides ways of implementing teleophthalmology easier and with better outcomes, contributing as significant changing factors for ophthalmology practice after the COVID-19 pandemic.

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“…Finally, there is a great need to facilitate remote glaucoma monitoring whereby patients collect their own IOP data with anaesthesia-free and accurate tonometers [69], although more effort will be needed to make hometonometry available at lower costs. Remote monitoring will be facilitated by home visual field testing that could be achieved using virtual reality [70], which controls for ambient lighting and distance between the eye and stimulus presentation, although fixation monitoring may still be an issue. Ultimately, nonmydriatic self-retinal imaging without the need for expensive smartphone attachments may be realized as the imaging capability of these pervasive handheld devices improve [71].…”

Section: Superonasal Stepmentioning

confidence: 99%

The impact of artificial intelligence in the diagnosis and management of glaucoma

Mayro

Wang

Elze

et al. 2019

Eye

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Deep learning (DL) is a subset of artificial intelligence (AI), which uses multilayer neural networks modelled after the mammalian visual cortex capable of synthesizing images in ways that will transform the field of glaucoma. Autonomous DL algorithms are capable of maximizing information embedded in digital fundus photographs and ocular coherence tomographs to outperform ophthalmologists in disease detection. Other unsupervised algorithms such as principal component analysis (axis learning) and archetypal analysis (corner learning) facilitate visual field interpretation and show great promise to detect functional glaucoma progression and differentiate it from non-glaucomatous changes when compared with conventional software packages. Forecasting tools such as the Kalman filter may revolutionize glaucoma management by accounting for a host of factors to set target intraocular pressure goals that preserve vision. Activation maps generated from DL algorithms that process glaucoma data have the potential to efficiently direct our attention to critical data elements embedded in high throughput data and enhance our understanding of the glaucomatous process. It is hoped that AI will realize more accurate assessment of the copious data encountered in glaucoma management, improving our understanding of the disease, preserving vision, and serving to enhance the deep bonds that patients develop with their treating physicians.

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GearVision: Smartphone Based Head Mounted Perimeter For Detection Of Visual Field Defects

Cited by 12 publications

References 3 publications

Application and Validation of LUXIE: A Newly Developed Virtual Reality Perimetry Software

Application and Validation of LUXIE: A Newly Developed Virtual Reality Perimetry Software

Teleophthalmology and Artificial Intelligence As Game Changers in Ophthalmic Care After the COVID-19 Pandemic

The impact of artificial intelligence in the diagnosis and management of glaucoma

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