A systematic review of portable technologies for the early assessment of motor development in infants

Weiyang Deng1, Megan K O'Brien1,2, Rachel A Andersen1

  • 1Technology & Innovation Hub, Shirley Ryan AbilityLab, Chicago, IL, USA.

NPJ Digital Medicine
|January 27, 2025
PubMed

Insights

Portable technologies offer promising, objective infant motor development assessment for early detection of deficits. Further research is needed for robust, user-friendly tools to improve real-world behavioral measurement.

Area of Science:

  • Pediatrics
  • Biomedical Engineering
  • Developmental Psychology

Background:

  • Early infant motor development screening is vital for timely intervention.
  • Traditional clinical assessments lack real-world behavioral data.
  • Portable technologies offer objective, precise, and ecologically valid infant motion measurement.

Purpose of the Study:

  • To systematically review portable, technology-based solutions for early infant motor development assessment (first year).
  • To outline current challenges and future directions in this field.
  • To explore applications in automating assessments, discovering new measures, and predicting outcomes.

Main Methods:

  • Systematic review of 66 publications.
  • Analysis of technologies including video and sensors.
  • Categorization of technology applications in infant motor assessment.

Main Results:

  • Portable technologies show a trend toward earlier and more accurate detection of motor development issues.
  • Key applications include automating clinical assessments, identifying novel developmental measures, and predicting outcomes.
  • A combination of video and sensor technologies is frequently utilized.

Conclusions:

  • Portable technologies hold significant promise for objective and ecologically valid infant motor assessment.
  • Further research with diverse demographics is essential for developing fully automated, robust, and user-friendly tools.
  • These advancements can enhance early detection and intervention for motor deficits.

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