Application of movement recognition technology in assessing spontaneous general movements in preterm infants.
- Author:
Hong-Hua LI
1
;
Ling SHAN
;
Bing WANG
;
Fei-Yong JIA
Author Information
1. Department of Developmental and Behavioral Pediatrics, First Hospital of Jilin University, Changchun 130021, China. ttian_2332@163.com.
- Publication Type:Journal Article
- MeSH:
Brain;
growth & development;
Child Development;
Humans;
Infant, Newborn;
Infant, Premature;
physiology;
Movement
- From:
Chinese Journal of Contemporary Pediatrics
2017;19(12):1306-1310
- CountryChina
- Language:Chinese
-
Abstract:
Preterm birth is a major factor which induces neurological and motor impairments, particularly cerebral palsy, in high-risk infants. Early identification of potential neurodevelopmental impairments provides the opportunity to improve neurodevelopmental outcomes in preterm infants through early rehabilitation interventions. Clinically, the general movement assessment is a pivotal tool to predict neurodevelopmental outcomes, especially motor developmental outcomes, in high-risk infants. Movement recognition can continuously capture relevant limb movements and perform objective and quantitative assessment using computerized approaches. Various methods of recording and analyzing spontaneous general movements for infants at a risk of cerebral palsy have been extensively explored. This article summarizes the general movement assessment method and reviews the translational research on using movement recognition technology for the assessment of spontaneous general movements of preterm infants.
