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Computational methodology to support functional vision assessment in premature infants: A viability study.
- Source :
-
NeuroRehabilitation . 2024, Vol. 54 Issue 2, p227-235. 9p. - Publication Year :
- 2024
-
Abstract
- BACKGROUND: Premature newborns have a higher risk of abnormal visual development and visual impairment. OBJECTIVE: To develop a computational methodology to help assess functional vision in premature infants by tracking iris distances. METHODS: This experimental study was carried out with children up to two years old. A pattern of image capture with the visual stimulus was proposed to evaluate visual functions of vertical and horizontal visual tracking, visual field, vestibulo-ocular reflex, and fixation. The participants' visual responses were filmed to compose a dataset and develop a detection algorithm using the OpenCV library allied with FaceMesh for the detection and selection of the face, detection of specific facial points and tracking of the iris positions is done. A feasibility study was also conducted from the videos processed by the software. RESULTS: Forty-one children of different ages and diagnoses participated in the experimental study, forming a robust dataset. The software resulted in the tracking of iris positions during visual function evaluation stimuli. Furthermore, in the feasibility study, 8 children participated, divided into Pre-term and Term groups. There was no statistical difference in any visual variable analyzed in the comparison between groups. CONCLUSION: The computational methodology developed was able to track the distances traveled by the iris, and thus can be used to help assess visual function in children. [ABSTRACT FROM AUTHOR]
- Subjects :
- *NEWBORN screening
*COMPUTERS
*DATA analysis
*RESEARCH funding
*HIGH performance computing
*VISION testing
*VISUAL evoked response
*PILOT projects
*IRIS (Eye)
*DESCRIPTIVE statistics
*EXPERIMENTAL design
*SOFTWARE architecture
*VISUAL perception
*VISUAL fields
*COMPARATIVE studies
*DATA analysis software
*FACE perception
*EYE movements
*ALGORITHMS
*CHILDREN
Subjects
Details
- Language :
- English
- ISSN :
- 10538135
- Volume :
- 54
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- NeuroRehabilitation
- Publication Type :
- Academic Journal
- Accession number :
- 176096737
- Full Text :
- https://doi.org/10.3233/NRE-230193