2021 Fiscal Year Final Research Report
Development of dynamic recording systems for eye movements and estimating eye movements disability using deep learning.
| Project/Area Number |
19K20728
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 90140:Medical technology assessment-related
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| Research Institution | Teikyo University |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | 眼球運動 / 人工知能 / 両眼視 / 視線計測 / 斜視 / 両眼視機能 |
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| Outline of Final Research Achievements |
In this study, I developed a dynamic HESS test, which showed that after a strabismic patient shifts his or her gaze, the refusion time to unify the images of the right and left eyes is prolonged.
I have developed the VOG-SSD system, which enables quantitative evaluation of subjects' eye movements without modifying eye movement testing procedures in real space, by combining an infrared eye tracking device that can noninvasively measure eye movements of both eyes with artificial intelligence technology. Furthermore, I developed an automatic analysis algorithm for eye movement testing, and succeeded in making the testing and analysis of the results seamless.
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| Free Research Field |
眼科学
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| Academic Significance and Societal Importance of the Research Achievements |
これまで，眼科外来における眼球運動検査は，検者である視能訓練士が目視で患者の眼球運動が正常であるか，異常であるかを判定していた．目視での判定は，定性的であり，検者間で結果が異なることや，検査中のデータが記録されないため経時的な変化を追えない問題点があった．
本研究において，研究代表者は，眼科外来で行われている眼球運動検査を他覚的定量評価することに成功した．さらに検査中の結果も記録できるため，眼球運動に異常を来した患者の経時変化を追うことで，治療効果を詳細に把握できるようになった．
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