Article

This study evaluates the role of postterm age at assessment and the use of one or
two video recordings for the detection of fidgety movements (FMs) and prediction
of cerebral palsy (CP) using computer vision software. Recordings between 9 and
17 weeks postterm age from 52 preterm and term infants (24 boys, 28 girls; 26
born preterm) were used. Recordings were analyzed using computer vision software.
Movement variables, derived from differences between subsequent video frames,
were used for quantitative analysis. Sensitivities, specificities, and area under
curve were estimated for the first and second recording, or a mean of both. FMs
were classified based on the Prechtl approach of general movement assessment. CP
status was reported at 2 years. Nine children developed CP of whom all recordings
had absent FMs. The mean variability of the centroid of motion (CSD) from two
recordings was more accurate than using only one recording, and identified all
children who were diagnosed with CP at 2 years. Age at assessment did not
influence the detection of FMs or prediction of CP. The accuracy of computer
vision techniques in identifying FMs and predicting CP based on two recordings
should be confirmed in future studies.

Langue : ANGLAIS