Literature DB >> 28880702

The Feasibility and Validity of Body-Worn Sensors to Supplement Timed Walking Tests for Children with Neurological Conditions.

Lavan Sivarajah1, Kyra J Kane2,3, Joel Lanovaz4, Derek Bisaro2, Alison Oates4, Ming Ye5,6, Kristin E Musselman1,2,7.   

Abstract

AIMS: The 10-meter walk test (10 mWT) and Timed Up and Go (TUG) are assessments of speed/time with a ceiling effect in pediatric populations. This study aimed to (1) determine whether collecting spatiotemporal data with inertial sensors (Mobility Lab, APDM Inc.) during these tests improves their discriminative validity, and (2) evaluate the clinical feasibility of Mobility Lab.
METHODS: Fifteen children with spina bifida (SB) or cerebral palsy (CP) (7.9 ± 3.1 years old) and fifteen age- and sex-matched typically-developing (TD) children completed the 10 mWT and TUG wearing Mobility Lab. Spatiotemporal data were compared between groups. Mobility Lab's potential to distinguish children with SB/CP from TD children was examined using conditional logistic regression. Feasibility was evaluated through participant adherence and a clinical utility scale.
RESULTS: For the 10 mWT, group differences (p < 0.01) were found in horizontal and frontal trunk range of motion, horizontal trunk velocity, and swing asymmetry. Children with SB/CP took significantly longer to turn during the TUG. These five variables together distinguished the two groups (p = 0.006). 78% of participants with SB/CP completed the testing protocol. Mobility Lab scored 4/10 on the clinical utility scale.
CONCLUSIONS: Instrumenting the 10 mWT and TUG improves the tests' ability to discriminate between children with SB/CP and TD children.

Entities:  

Keywords:  Cerebral palsy; gait; inertial sensor; measurement; spatiotemporal; spina bifida

Mesh:

Year:  2017        PMID: 28880702     DOI: 10.1080/01942638.2017.1357066

Source DB:  PubMed          Journal:  Phys Occup Ther Pediatr        ISSN: 0194-2638            Impact factor:   2.360


  2 in total

1.  The feasibility and validity of a wearable sensor system to assess the stability of high-functioning lower-limb prosthesis users.

Authors:  Kyle T Miller; Molly Russell; Terese Jenks; Kaddie Surratt; Kelly Poretti; Samantha S Eigenbrot; Jonathan S Akins; Matthew J Major
Journal:  J Prosthet Orthot       Date:  2020-08-11

Review 2.  The application of artificial intelligence and custom algorithms with inertial wearable devices for gait analysis and detection of gait-altering pathologies in adults: A scoping review of literature.

Authors:  Ashley Cha Yin Lim; Pragadesh Natarajan; R Dineth Fonseka; Monish Maharaj; Ralph J Mobbs
Journal:  Digit Health       Date:  2022-01-27
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.