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Record W4389060265 · doi:10.2147/opto.s434404

At-Home Trial of Four Different Head-Mounted Displays in Visual Rehabilitation of People with Stargardt Disease

2023· article· en· W4389060265 on OpenAlexaboutno aff
Diana Chabané Schmidt, Christine Dahlgren Bohnsack Kjølholm, Joaquim Torner Jordana, Vibeke Spange, Pernille Duelund Højstrup, Bo Schack Larsen, Line Kessel

Bibliographic record

VenueClinical Optometry · 2023
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsnot available
FundersDanish Eye Research Foundation
KeywordsStargardt diseaseHead (geology)RehabilitationPhysical medicine and rehabilitationOptical head-mounted displayOptometryMedicineDiseasePhysical therapyMacular degenerationComputer scienceComputer visionOphthalmologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Purpose: To examine the potential of different head-mounted displays in the rehabilitation of individuals with visual impairment. Methods: This prospective explorative study conducted between September 2019 and August 2020 included participants with Stargardt disease with moderate to severe visual impairment and a relatively preserved peripheral visual field. AceSight, eSight 3, IrisVision Live, and Jordy were tested. After instruction and training, participants chose two head-mounted displays for home use for two weeks per device. The Canadian Occupational Performance Measure was used for evaluation. Results: Twelve participants (aged 16– 53 years) tested all head-mounted displays in the clinic. Distance visual acuity and reading distance improved with all head-mounted displays and eSight and Irisvision improved near visual acuity. Six participants decided not to test the head-mounted display at home due to lack of time or energy, dizziness and discomfort, double vision and peripheral visual field limitation, or aesthetics. After home use, the participants reported improved visual function at a distance with IrisVision, AceSight, and e-Sight, whereas only AceSight improved vision during near tasks. IrisVision and eSight improved reading ability, and none of the devices improved vision during tasks involving computers. Five participants used the devices sparingly, and five avoided public use owing to aesthetics. Conclusion: We found an improvement in distance visual acuity and increased reading distance for all tested head-mounted displays. Additionally, IrisVision and eSight improved visual function at near and eSight also improved contrast vision at distance. Despite the possibility of improving vision, social stigma and device aesthetics kept the participants from using head-mounted displays in public and limited their use at home. Plain Language Summary: This study explored the potential of four different head-mounted displays for visual rehabilitation.Visual impairment not only affects daily activities but also limits participation in education, work, and social interactions.Patients with Stargardt disease tested the displays in a clinical setting and at home.We found that the head-mounted displays improved visual function. However, the patients did not wish to use the devices publicly due to social stigma and their aesthetics.The development of smaller and lighter devices that focus on aesthetics could increase usage. Keywords: head-mounted display, visual aid, visual impairment, electronic glasses, Stargardt disease

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.486
Teacher spread0.433 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2023
Admission routes1
Has abstractyes

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