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Computational methodology to support functional vision assessment in premature infants: A viability study.
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.
Afiliación
  • Maciel RP; Special Interdisciplinary Coordination of Information and Communication Technologies, Federal University of Santa Catarina, Araranguá, SC, Brazil.
  • Marchi BS; Rehabilitation Sciences Postgraduate Program, Federal University of Santa Catarina, Araranguá, SC, Brazil.
  • Silveira HDSD; Department of Health Sciences, Federal University of Santa Catarina, Araranguá, SC, Brazil.
  • Rodovanski GP; Neurosciences and Behavior Postgraduate Program, Department of Experimental Psychology, Institute of Psychology, São Paulo University, São Paulo, Brazil.
  • Al-Rob A; Department of Computing, Federal University of Santa Catarina, Araranguá, SC, Brazil.
  • Souza R; Department of Computing, Federal University of Santa Catarina, Araranguá, SC, Brazil.
  • Costa MF; Neurosciences and Behavior Postgraduate Program, Department of Experimental Psychology, Institute of Psychology, São Paulo University, São Paulo, Brazil.
  • Moran CA; Rehabilitation Sciences Postgraduate Program, Federal University of Santa Catarina, Araranguá, SC, Brazil.
  • Sobieranski AC; Department of Health Sciences, Federal University of Santa Catarina, Araranguá, SC, Brazil.
NeuroRehabilitation ; 54(2): 227-235, 2024.
Article en En | MEDLINE | ID: mdl-38306062
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Visión Ocular / Recien Nacido Prematuro Límite: Child / Humans / Infant / Newborn Idioma: En Revista: NeuroRehabilitation Asunto de la revista: NEUROLOGIA / REABILITACAO Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Visión Ocular / Recien Nacido Prematuro Límite: Child / Humans / Infant / Newborn Idioma: En Revista: NeuroRehabilitation Asunto de la revista: NEUROLOGIA / REABILITACAO Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos