Mobile Device-Based Video Screening for Infant Head Lag: An Exploratory Study

• Published in: Children (Basel) Vol. 10; no. 7; p. 1239
• Main Authors: Chung, Hao-Wei, Chang, Che-Kuei, Huang, Tzu-Hsiu, Chen, Li-Chiou, Chen, Hsiu-Lin, Yang, Shu-Ting, Chen, Chien-Chih, Wang, Kuochen
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-07-2023; MDPI
• Subjects: Algorithms; Analysis; Artificial intelligence; Babies; Cellular telephones; Cerebral palsy; Child development; Children with disabilities; Deep learning; infant head lag; Infants; Intervention; Motor ability; motor development delay; Neonatology; Parents & parenting; Questionnaires; remote screen; Review boards; smartphone; United Kingdom; Taiwan; smartphone; remote screen; infant head lag; artificial intelligence; motor development delay
• ISSN: 2227-9067; 2227-9067
• DOI: 10.3390/children10071239

Video-based automatic motion analysis has been employed to identify infant motor development delays. To overcome the limitations of lab-recorded images and training datasets, this study aimed to develop an artificial intelligence (AI) model using videos taken by mobile phone to assess infants' motor skills.
A total of 270 videos of 41 high-risk infants were taken by parents using a mobile device. Based on the Pull to Sit (PTS) levels from the Hammersmith Motor Evaluation, we set motor skills assessments. The videos included 84 level 0, 106 level 1, and 80 level 3 recordings. We used whole-body pose estimation and three-dimensional transformation with a fuzzy-based approach to develop an AI model. The model was trained with two types of vectors: whole-body skeleton and key points with domain knowledge.
The average accuracies of the whole-body skeleton and key point models for level 0 were 77.667% and 88.062%, respectively. The Area Under the ROC curve (AUC) of the whole-body skeleton and key point models for level 3 were 96.049% and 94.333% respectively.
An AI model with minimal environmental restrictions can provide a family-centered developmental delay screen and enable the remote monitoring of infants requiring intervention.