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Intraindividual Variability Measurement of Fine Manual Motor Skills in Children Using an Electronic Pegboard: Cohort Study.

Diego RiveraAntonio GarcíaJose Eugenio OrtegaBernardo AlarcosKevin van der MeulenJuan Ramón VelascoCristina Del Barrio
Published in: JMIR mHealth and uHealth (2019)
The developed pegboard allows for studying intraindividual variability using automated wirelessly transmitted data provided by its sensors. This novel technique has been useful in studying and validating the hypothesis that children with lower movement times present lower intraindividual variability. New research is necessary to confirm these findings. Research with larger sample sizes and age ranges that include additional testing of children's motor development level is currently in preparation.
Keyphrases
  • young adults
  • air pollution
  • deep learning
  • electronic health record
  • high throughput
  • big data
  • high resolution
  • artificial intelligence