This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (954) mHealth for Rehabilitation (262)

Published on in Vol 7, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12434, first published .
Intraindividual Variability Measurement of Fine Manual Motor Skills in Children Using an Electronic Pegboard: Cohort Study

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

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

Authors of this article:

Diego Rivera1 Author Orcid Image ;   Antonio García1 Author Orcid Image ;   Jose Eugenio Ortega2 Author Orcid Image ;   Bernardo Alarcos1 Author Orcid Image ;   Kevin van der Meulen3 Author Orcid Image ;   Juan R Velasco1 Author Orcid Image ;   Cristina del Barrio3 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. van Dijck J, Abrahamse E, Fias W. Do preliterate children spontaneously employ spatial coding for serial order in working memory?. Annals of the New York Academy of Sciences 2020;1477(1):91 View
  2. Brons A, de Schipper A, Mironcika S, Toussaint H, Schouten B, Bakkes S, Kröse B. Assessing Children’s Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach. Journal of Medical Internet Research 2021;23(4):e24237 View
  3. Laorden Gutiérrez C, Royo García P, Serrano García C, Núñez Nagy S. Estudio inicial para el diagnóstico precoz de problemas de desarrollo. TECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional De Tecnología, Ciencia Y Sociedad 2022;11(5):1 View
  4. Mia M, Ahamed S, Nemanich S. Gamified mHealth System for Evaluating Upper Limb Motor Performance in Children: A Feasibility Study (Preprint). JMIR Serious Games 2024 View

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  1. Aneesha Acharya K, Choudhary A. Smart Sensors Measurement and Instrumentation. View