Quantification of the development of trunk control in healthy infants using inertial measurement units

Janneke Blok, Katherine L. Poggensee*, Daniel Lemus, Manon Kok, Robert F. Pangalila, Heike Vallery, Jolien Deferme, Leontien Cc Toussaint-Duyster, Herwin Horemans

*Corresponding author for this work

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

1 Citation (Scopus)
56 Downloads (Pure)

Abstract

Trunk motor control is essential for the proper functioning of the upper extremities and is an important predictor of gait capacity in children with delayed development. Early diagnosis and intervention could increase the trunk motor capabilities in later life, but current tools used to assess the level of trunk motor control are largely subjective and many lack the sensitivity to accurately monitor development and the effects of therapy. Inertial measurement units could yield an objective quantitative assessment that is inexpensive and easy-to-implement. We hypothesized that root mean square of jerk, a proxy for movement smoothness, could be used to distinguish age and thereby presumed motor development. We attached a sensor to the trunks of six young children with no known developmental deficits. Root mean square of jerk decreases with age, up to 24 months, and is correlated to a more established method, i.e., center-of-pressure velocity, as well as other standard inertial measurement unit outputs. This metric therefore shows potential as a method to differentiate trunk motor control levels.

Original languageEnglish
Title of host publication2022 International Conference on Rehabilitation Robotics, ICORR 2022
PublisherIEEE Computer Society
ISBN (Electronic)9781665488297
DOIs
Publication statusPublished - Jul 2022
Event2022 International Conference on Rehabilitation Robotics, ICORR 2022 - Rotterdam, Netherlands
Duration: 25 Jul 202229 Jul 2022

Publication series

SeriesIEEE International Conference on Rehabilitation Robotics
Volume2022-July
ISSN1945-7898

Conference

Conference2022 International Conference on Rehabilitation Robotics, ICORR 2022
Country/TerritoryNetherlands
CityRotterdam
Period25/07/2229/07/22

Bibliographical note

Funding Information:
This work was supported by the Health and Technology Convergence Alliance TU Delft, Erasmus MC University Medical Center Rotterdam, and Erasmus University Rotterdam. We would also like to thank Judith Cueto Fernandez for her help with experiment preparation.

Publisher Copyright: © 2022 IEEE.

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