Literature DB >> 27693956

Validation of a commercial inertial sensor system for spatiotemporal gait measurements in children.

Joel L Lanovaz1, Alison R Oates2, Tanner T Treen2, Janelle Unger2, Kristin E Musselman3.   

Abstract

Although inertial sensor systems are becoming a popular tool for gait analysis in both healthy and pathological adult populations, there are currently no data on the validity of these systems for use with children. The purpose of this study was to validate spatiotemporal data from a commercial inertial sensor system (MobilityLab) in typically-developing children. Data from 10 children (5 males; 3.0-8.3 years, mean=5.1) were collected simultaneously from MobilityLab and 3D motion capture during gait at self-selected and fast walking speeds. Spatiotemporal parameters were compared between the two methods using a Bland-Altman method. The results indicate that, while the temporal gait measurements were similar between the two systems, MobilityLab demonstrated a consistent bias with respect to measurement of the spatial data (stride length). This error is likely due to differences in relative leg length and gait characteristics in children compared to the MobilityLab adult reference population used to develop the stride length algorithm. A regression-based equation was developed based on the current data to correct the MobilityLab stride length output. The correction was based on leg length, stride time, and shank range-of-motion, each of which were independently associated with stride length. Once the correction was applied, all of the spatiotemporal parameters evaluated showed good agreement. The results of this study indicate that MobilityLab is a valid tool for gait analysis in typically-developing children. Further research is needed to determine the efficacy of this system for use in children suffering from pathologies that impact gait mechanics. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D motion capture; Children; Gait; Inertial sensor; Spatiotemporal; Validation

Mesh:

Year:  2016        PMID: 27693956     DOI: 10.1016/j.gaitpost.2016.09.021

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  11 in total

1.  Normative database of spatiotemporal gait parameters using inertial sensors in typically developing children and young adults.

Authors:  Stephanie Voss; Jessica Joyce; Alexandras Biskis; Medha Parulekar; Nicholas Armijo; Cris Zampieri; Rachel Tracy; Alexandra Sasha Palmer; Marie Fefferman; Bichun Ouyang; Yuanqing Liu; Elizabeth Berry-Kravis; Joan A O'Keefe
Journal:  Gait Posture       Date:  2020-05-21       Impact factor: 2.840

2.  Accuracy and Repeatability of Spatiotemporal Gait Parameters Measured with an Inertial Measurement Unit.

Authors:  Jorge Posada-Ordax; Julia Cosin-Matamoros; Marta Elena Losa-Iglesias; Ricardo Becerro-de-Bengoa-Vallejo; Laura Esteban-Gonzalo; Carlos Martin-Villa; César Calvo-Lobo; David Rodriguez-Sanz
Journal:  J Clin Med       Date:  2021-04-21       Impact factor: 4.241

3.  Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters.

Authors:  Felix Kluge; Heiko Gaßner; Julius Hannink; Cristian Pasluosta; Jochen Klucken; Björn M Eskofier
Journal:  Sensors (Basel)       Date:  2017-06-28       Impact factor: 3.576

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Journal:  Sensors (Basel)       Date:  2018-05-29       Impact factor: 3.576

5.  Affordable gait analysis using augmented reality markers.

Authors:  Gergely Nagymáté; Rita M Kiss
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

6.  Accuracy Verification of Spatio-Temporal and Kinematic Parameters for Gait Using Inertial Measurement Unit System.

Authors:  Sang Seok Yeo; Ga Young Park
Journal:  Sensors (Basel)       Date:  2020-02-29       Impact factor: 3.576

7.  Usefulness of Mobile Devices in the Diagnosis and Rehabilitation of Patients with Dizziness and Balance Disorders: A State of the Art Review.

Authors:  Anna Gawronska; Anna Pajor; Ewa Zamyslowska-Szmytke; Oskar Rosiak; Magdalena Jozefowicz-Korczynska
Journal:  Clin Interv Aging       Date:  2020-12-22       Impact factor: 4.458

8.  An Ergonomic Assessment of Different Postures and Children Risk during Evacuations.

Authors:  Xiaohu Jia; Bo Zhang; Xiaoyu Gao; Jiaxu Zhou
Journal:  Int J Environ Res Public Health       Date:  2021-11-16       Impact factor: 3.390

9.  Reference values of gait using APDM movement monitoring inertial sensor system.

Authors:  Xin Fang; Chuandao Liu; Zhongli Jiang
Journal:  R Soc Open Sci       Date:  2018-01-10       Impact factor: 2.963

10.  What is the Best Configuration of Wearable Sensors to Measure Spatiotemporal Gait Parameters in Children with Cerebral Palsy?

Authors:  Lena Carcreff; Corinna N Gerber; Anisoara Paraschiv-Ionescu; Geraldo De Coulon; Christopher J Newman; Stéphane Armand; Kamiar Aminian
Journal:  Sensors (Basel)       Date:  2018-01-30       Impact factor: 3.576

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