Literature DB >> 28099115

Examination of the reliability of an inertial sensor-based gait analysis system.

Katja Orlowski1, Falko Eckardt1, Fabian Herold1, Norman Aye1, Jürgen Edelmann-Nusser1, Kerstin Witte1.   

Abstract

Gait analysis is an important and useful part of the daily therapeutic routine. InvestiGAIT, an inertial sensor-based system, was developed for using in different research projects with a changing number and position of sensors and because commercial systems do not capture the motion of the upper body. The current study is designed to evaluate the reliability of InvestiGAIT consisting of four off-the-shelf inertial sensors and in-house capturing and analysis software. Besides the determination of standard gait parameters, the motion of the upper body (pelvis and spine) can be investigated. Kinematic data of 25 healthy individuals (age: 25.6±3.3 years) were collected using a test-retest design with 1 week between measurement sessions. We calculated different parameters for absolute [e.g. limits of agreement (LoA)] and relative reliability [intraclass correlation coefficients (ICC)]. Our results show excellent ICC values for most of the gait parameters. Midswing height (MH), height difference (HD) of initial contact (IC) and terminal contact (TC) and stride length (SL) are the gait parameters, which did not exhibit acceptable values representing absolute reliability. Moreover, the parameters derived from the motion of the upper body (pelvis and spine) show excellent ICC values or high correlations. Our results indicate that InvestiGAIT is suitable for reliable measurement of almost all the considered gait parameters.

Entities:  

Keywords:  algorithms; assistive technology for physiotherapists; gait analysis; gait parameters; reliability; test-retest

Mesh:

Year:  2017        PMID: 28099115     DOI: 10.1515/bmt-2016-0067

Source DB:  PubMed          Journal:  Biomed Tech (Berl)        ISSN: 0013-5585            Impact factor:   1.411


  7 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.  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

3.  Reproducibility and discriminant validity of two clinically feasible measurement methods to obtain coronal plane gait kinematics in participants with a lower extremity amputation.

Authors:  Ruud A Leijendekkers; Thomas J Hoogeboom; Gerben van Hinte; Lars Didden; Thomas Anijs; Maria W G Nijhuis-van der Sanden; Nico Verdonschot
Journal:  PLoS One       Date:  2019-05-21       Impact factor: 3.240

4.  Persisting inter-limb differences in patients following total hip arthroplasty four to five years after surgery? A preliminary cross-sectional study.

Authors:  Stefanie John; David Weizel; Anna S Heumann; Anja Fischer; Katja Orlowski; Kai-Uwe Mrkor; Jürgen Edelmann-Nusser; Kerstin Witte
Journal:  BMC Musculoskelet Disord       Date:  2021-02-27       Impact factor: 2.362

5.  JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease.

Authors:  Mehran Sahandi Far; Michael Stolz; Jona M Fischer; Simon B Eickhoff; Juergen Dukart
Journal:  Front Public Health       Date:  2021-11-19

6.  Test-Retest Reliability of Kinematic and Temporal Outcome Measures for Clinical Gait and Stair Walking Tests, Based on Wearable Inertial Sensors.

Authors:  Sofie Nilsson; Per Ertzgaard; Mikael Lundgren; Helena Grip
Journal:  Sensors (Basel)       Date:  2022-02-03       Impact factor: 3.576

Review 7.  Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis.

Authors:  Dylan Kobsar; Jesse M Charlton; Calvin T F Tse; Jean-Francois Esculier; Angelo Graffos; Natasha M Krowchuk; Daniel Thatcher; Michael A Hunt
Journal:  J Neuroeng Rehabil       Date:  2020-05-11       Impact factor: 4.262

  7 in total

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