Enhancing the detection of visual-cognitive disruptions in automated dyslexia diagnosis using viscoelastic constitutive artificial neural networks for eye movement analysis.
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| Title: | Enhancing the detection of visual-cognitive disruptions in automated dyslexia diagnosis using viscoelastic constitutive artificial neural networks for eye movement analysis. |
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| Authors: | Regilan S; Associate Professor, Department of Electronics and Communication Engineering, Asan Memorial College of Engineering and Technology, Chengalpattu,Chennai, Tamil Nadu, India. lssregilan@gmail.com., Indumathi R; Department of Biomedical Engineering, School of Bio Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India., Jenitha J; Department Of Electronics and Communication Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission's Resrearch Foundation (DU), Chennai, Tamil Nadu, India., Sowmiya Manoj M; Department Of Electronics and Communication Engineering,, Saveetha Engineering College , Chennai, Tamil Nadu, India. |
| Source: | Documenta ophthalmologica. Advances in ophthalmology [Doc Ophthalmol] 2026 Jun 11. Date of Electronic Publication: 2026 Jun 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Kluwer Country of Publication: Netherlands NLM ID: 0370667 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2622 (Electronic) Linking ISSN: 00124486 NLM ISO Abbreviation: Doc Ophthalmol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1573-2622 |
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| DOI: | 10.1007/s10633-026-10116-8 |
