Clinical performance of a smartphone-based low vision aid
Abstract Real-time digital image processing to optimally enhance low vision is now realizable with recent advances in personal computers. This study aimed to evaluate the efficacy of a wearable smartphone-based low vision aid (LVA) with customizable vision enhancement in patients with visual impairm...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-14489-z |
| _version_ | 1828316160286785536 |
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| author | Joon Hyung Yeo Seon Ha Bae Seung Hyeun Lee Kyoung Woo Kim Nam Ju Moon |
| author_facet | Joon Hyung Yeo Seon Ha Bae Seung Hyeun Lee Kyoung Woo Kim Nam Ju Moon |
| author_sort | Joon Hyung Yeo |
| collection | DOAJ |
| description | Abstract Real-time digital image processing to optimally enhance low vision is now realizable with recent advances in personal computers. This study aimed to evaluate the efficacy of a wearable smartphone-based low vision aid (LVA) with customizable vision enhancement in patients with visual impairment. We recruited 35 subjects with visual impairment and who were literate and cognitively capable. The subjects completed a training session and were provided a smartphone-based LVA for a 4-week use. Visual functions including binocular best-corrected distance, intermediate, and near visual acuities; reading performance (reading speed and accuracy); and facial recognition performance were measured at baseline and after 4-weeks use. All subjects also completed the Low Vision Quality of Life (LVQOL) Questionnaire. Thirty-four subjects (mean age, 43.82 ± 15.06 years) completed the study. Significant improvements in binocular best-corrected distance, intermediate, and near visual acuities were observed after smartphone-based LVA use (all p < 0.001). Reading accuracy and facial recognition performance also improved significantly (p = 0.009 and p < 0.001, respectively), but reading speed did not. LVQOL scores significantly improved after 4 weeks of use in subjects aged < 40 years (p = 0.024), but not in subjects aged ≥ 40 years (p = 0.653). Ocular and non-ocular adverse events were infrequent and resolved when the device was removed. The smartphone-based LVA with customizable vision enhancement could provide clinically significant improvements in the visual function of patients with visual impairment and was generally well tolerated. This study suggests that the smartphone-based LVA would be beneficial for visual rehabilitation. |
| first_indexed | 2024-04-13T17:10:53Z |
| format | Article |
| id | doaj.art-75f788c4e318423e876ff3343596400f |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-13T17:10:53Z |
| publishDate | 2022-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-75f788c4e318423e876ff3343596400f2022-12-22T02:38:17ZengNature PortfolioScientific Reports2045-23222022-06-0112111010.1038/s41598-022-14489-zClinical performance of a smartphone-based low vision aidJoon Hyung Yeo0Seon Ha Bae1Seung Hyeun Lee2Kyoung Woo Kim3Nam Ju Moon4Department of Ophthalmology, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of MedicineDepartment of Ophthalmology, Chung-Ang University Hospital, Chung-Ang University College of MedicineDepartment of Ophthalmology, Chung-Ang University Hospital, Chung-Ang University College of MedicineDepartment of Ophthalmology, Chung-Ang University Hospital, Chung-Ang University College of MedicineDepartment of Ophthalmology, Chung-Ang University Hospital, Chung-Ang University College of MedicineAbstract Real-time digital image processing to optimally enhance low vision is now realizable with recent advances in personal computers. This study aimed to evaluate the efficacy of a wearable smartphone-based low vision aid (LVA) with customizable vision enhancement in patients with visual impairment. We recruited 35 subjects with visual impairment and who were literate and cognitively capable. The subjects completed a training session and were provided a smartphone-based LVA for a 4-week use. Visual functions including binocular best-corrected distance, intermediate, and near visual acuities; reading performance (reading speed and accuracy); and facial recognition performance were measured at baseline and after 4-weeks use. All subjects also completed the Low Vision Quality of Life (LVQOL) Questionnaire. Thirty-four subjects (mean age, 43.82 ± 15.06 years) completed the study. Significant improvements in binocular best-corrected distance, intermediate, and near visual acuities were observed after smartphone-based LVA use (all p < 0.001). Reading accuracy and facial recognition performance also improved significantly (p = 0.009 and p < 0.001, respectively), but reading speed did not. LVQOL scores significantly improved after 4 weeks of use in subjects aged < 40 years (p = 0.024), but not in subjects aged ≥ 40 years (p = 0.653). Ocular and non-ocular adverse events were infrequent and resolved when the device was removed. The smartphone-based LVA with customizable vision enhancement could provide clinically significant improvements in the visual function of patients with visual impairment and was generally well tolerated. This study suggests that the smartphone-based LVA would be beneficial for visual rehabilitation.https://doi.org/10.1038/s41598-022-14489-z |
| spellingShingle | Joon Hyung Yeo Seon Ha Bae Seung Hyeun Lee Kyoung Woo Kim Nam Ju Moon Clinical performance of a smartphone-based low vision aid Scientific Reports |
| title | Clinical performance of a smartphone-based low vision aid |
| title_full | Clinical performance of a smartphone-based low vision aid |
| title_fullStr | Clinical performance of a smartphone-based low vision aid |
| title_full_unstemmed | Clinical performance of a smartphone-based low vision aid |
| title_short | Clinical performance of a smartphone-based low vision aid |
| title_sort | clinical performance of a smartphone based low vision aid |
| url | https://doi.org/10.1038/s41598-022-14489-z |
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