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Developmental Neurorehabilitation Volume 21, 2018 - Issue 2
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Brief Report

Determining if wearable sensors affect infant leg movement frequency

Crystal JiangDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, USAView further author information
,
Christianne J. LaneDepartment of Preventative Medicine, University of Southern California, Los Angeles, CA, USAView further author information
,
Emily PerkinsDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, USAView further author information
,
Derek SchieselDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, USAView further author information
&
Beth A. SmithDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, USACorrespondence[email protected]
View further author information
Pages 133-136 | Received 02 Oct 2016, Accepted 13 May 2017, Published online: 14 Jun 2017

References

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  • Jiang C, De Armendi JT, Smith BA. Immediate effect of positioning devices on infant leg movement characteristics. Pediatric Physical Therapy 2016;28:304–310.
  • Abney DH, Warlaumont AS, Haussman A, Ross JM, Wallot S. Using nonlinear methods to quantify changes in infant limb movements and vocalizations. Frontiers in Psychology 2014;5771:1–15.
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  • McKay SM, Angulo-Barroso RM. Longitudinal assessment of leg motor activity and sleep patterns in infants with and without Down syndrome. Infant Behavior and Development 2006;29:153–168.
  • Singh M, Patterson DJ. Involuntary gesture recognition for predicting cerebral palsy in high-risk infants. International Symposium on Wearable Computers 2010;2010:1–8.
  • Groenen AATK, Kruijsen AJA, Mulvey GM, Ulrich BD. Constraints on early movement: tykes, togs, and technology. Infant Behavior and Devolpment 2010;33:16–22.
  • Angulo-Kinzler RM, Ulrich B, Thelen E. Three-month-old infants can select specific leg motor solutions. Motor Control 2002;6:52–68.
  • Krueger C, Tian L. A comparison of the general linear mixed model and repeated measures ANOVA using a dataset with multiple missing data points. Biological Research for Nursing 2004 Oct;62:151–157.

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