Computational methodology to support functional vision assessment in premature infants: A viability study.
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 u...
| Publicado en: | NeuroRehabilitation Vol. 54; no. 2; pp. 227 - 236 |
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| Autores principales: | , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=176096737&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 176096737 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10538135 3RE jtl: NeuroRehabilitation issn: 10538135 maglogo: N pubinfo: dt: 2024 vid: 54 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 176096737 175119956 176096737 176096737 10.3233/NRE-230193 176096737 ppf: 227 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Computational methodology to support functional vision assessment in premature infants: A viability study. aug: au: Maciel, Ricardo Pires Marchi, Bruna Samantha Silveira, Henrique da Silva da Rodovanski, Giovana Pascoali Al-Rob, Aicha Souza, Rodrigo Costa, Marcelo Fernandes Moran, Cristiane Aparecida Sobieranski, Antonio Carlos affil: Special Interdisciplinary Coordination of Information and Communication Technologies, Federal University of Santa Catarina, Araranguá, SC, Brazil sug: subj: Computing Methodologies Software Design Vision Evaluation Infant, Premature Vision Screening In Infancy and Childhood Iris Physiology Neonatal Assessment Human Male Female Infant, Newborn Infant Experimental Studies Visual Perception Visual Fields Evoked Potentials, Visual Face Perception Pilot Studies Data Analysis, Computer Assisted Descriptive Statistics Eye Movements Comparative Studies Data Analysis Software Funding Source Algorithms Infant, Newborn: birth-1 month Infant: 1-23 months Male Female ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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