Computational methodology to support functional vision assessment in premature infants: A viability study.
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.Palabras clave
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