Literature DB >> 30747572

Concurrent Validity of a Commercial Wireless Trunk Triaxial Accelerometer System for Gait Analysis.

Roel De Ridder, Julien Lebleu, Tine Willems, Cedric De Blaiser, Christine Detrembleur, Philip Roosen.   

Abstract

CONTEXT: Wearable sensor devices have notable advantages, such as cost-effectiveness, easy to use, and real-time feedback. Wirelessness ensures full-body motion, which is required during movement in a challenging environment such as during sports. Research on the reliability and validity of commercially available systems, however, is indispensable.
OBJECTIVE: To confirm the test-retest reliability and concurrent validity of a commercially available body-worn sensor-BTS G-WALK® sensor system-for spatiotemporal gait parameters with the GAITRite® walkway system as golden standard.
DESIGN: Reliability and concurrent validity study.
SETTING: Laboratory setting. PARTICIPANTS: Thirty healthy subjects. MAIN OUTCOME MEASURES: Spatiotemporal parameters: speed, cadence, stride length, stride duration, stance duration, swing duration, double support, and single support.
RESULTS: In terms of test-retest reliability of the BTS G-WALK® sensor system, intraclass correlation coefficient values for both the spatial and temporal parameters were excellent between consecutive measurements on the same day with intraclass correlation coefficient values ranging from .85 to .99. In terms of validity, intraclass correlation coefficient values between measurement systems showed excellent levels of agreement for speed, cadence, stride length, and stride duration (range = .88-.97), and showed poor to moderate levels of agreement (range = .12-.47) for single/double support and swing/stance duration. Bland-Altman plots showed overall percentage bias values equal to or smaller than 3% with limits of agreement ≤15% (speed, cadence, stride length, stride duration, swing duration, and stance duration). Only for single and double support, the limits of agreement were higher with, respectively, -15.4% to 19.5% and -48.0% to 51.4%.
CONCLUSION: The BTS G-WALK® sensor system is reliable for all measured spatiotemporal parameters. In terms of validity, excellent concurrent validity was shown for speed, cadence, stride length, and stride duration. Cautious interpretation is necessary for temporal parameters based on final foot contact (stance, swing, and single/double support time).

Entities:  

Keywords:  reliability; spatiotemporal parameters; walking; wearable

Year:  2019        PMID: 30747572     DOI: 10.1123/jsr.2018-0295

Source DB:  PubMed          Journal:  J Sport Rehabil        ISSN: 1056-6716            Impact factor:   1.931


  11 in total

Review 1.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

2.  Variations in Patterns of Muscle Activity Observed in Participants Walking in Everyday Environments: Effect of Different Surfaces.

Authors:  Julien Lebleu; Ross Parry; Camille Bertouille; Marine de Schaetzen; Philippe Mahaudens; Laura Wallard; Christine Detrembleur
Journal:  Physiother Can       Date:  2021       Impact factor: 1.039

3.  Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor.

Authors:  Antonino Casabona; Maria Stella Valle; Giulia Rita Agata Mangano; Matteo Cioni
Journal:  Sensors (Basel)       Date:  2022-07-02       Impact factor: 3.847

4.  Agreement between the GAITRite® System and the Wearable Sensor BTS G-Walk® for measurement of gait parameters in healthy adults and Parkinson's disease patients.

Authors:  Slávka Vítečková; Hana Horáková; Kamila Poláková; Radim Krupička; Evžen Růžička; Hana Brožová
Journal:  PeerJ       Date:  2020-05-22       Impact factor: 2.984

5.  Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment.

Authors:  Federica Amitrano; Armando Coccia; Carlo Ricciardi; Leandro Donisi; Giuseppe Cesarelli; Edda Maria Capodaglio; Giovanni D'Addio
Journal:  Sensors (Basel)       Date:  2020-11-23       Impact factor: 3.576

6.  Effects of therapeutic horse-riding program on the walking ability of students with intellectual disabilities.

Authors:  Ok-Deuk Kang
Journal:  J Anim Sci Technol       Date:  2021-03-31

7.  Measuring Balance Abilities of Transtibial Amputees Using Multiattribute Utility Theory.

Authors:  Xueyi Zhang; Zhicheng Liu; Guixing Qiu
Journal:  Biomed Res Int       Date:  2021-12-21       Impact factor: 3.411

8.  Clinical-Functional Evaluation and Test-Retest Reliability of the G-WALK Sensor in Subjects with Bimalleolar Ankle Fractures 6 Months after Surgery.

Authors:  Mario Fernández-Gorgojo; Diana Salas-Gómez; Pascual Sánchez-Juan; David Barbado; Esther Laguna-Bercero; María Isabel Pérez-Núñez
Journal:  Sensors (Basel)       Date:  2022-04-15       Impact factor: 3.847

9.  Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors.

Authors:  Ilaria Mulas; Valeria Putzu; Gesuina Asoni; Daniela Viale; Irene Mameli; Massimiliano Pau
Journal:  Aging Clin Exp Res       Date:  2020-09-25       Impact factor: 3.636

10.  Non-motor impairments affect walking kinematics in Parkinson disease patients: A cross-sectional study.

Authors:  Sara Liguori; Antimo Moretti; Angela Palomba; Marco Paoletta; Francesca Gimigliano; Rosa De Micco; Mattia Siciliano; Alessandro Tessitore; Giovanni Iolascon
Journal:  NeuroRehabilitation       Date:  2021       Impact factor: 2.138

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