Literature DB >> 27494305

Mobile inertial sensor based gait analysis: Validity and reliability of spatiotemporal gait characteristics in healthy seniors.

Lars Donath1, Oliver Faude1, Eric Lichtenstein1, Geert Pagenstert2, Corina Nüesch2, Annegret Mündermann3.   

Abstract

Gait analysis is commonly used to identify gait changes and fall risk in clinical populations and seniors. Body-worn inertial sensor based gait analyses provide a feasible alternative to optometric and pressure based measurements of spatiotemporal gait characteristics. We assessed validity and relative and absolute reliability of a body-worn inertial sensor system (RehaGait(®)) for measuring spatiotemporal gait characteristics compared to a standard stationary treadmill (Zebris(®)). Spatiotemporal gait parameters (walking speed, stride length, cadence and stride time) were collected for 24 healthy seniors (age: 75.3±6.7 years) tested on 2 days (1 week apart) simultaneously using the sensor based system and instrumented treadmill. Each participant completed walking tests (200 strides) at different walking speeds and slopes. The difference between the RehaGait(®) system and the treadmill was trivial (Cohen's d<0.2) except for speed and stride length at slow speed (Cohen's d, 0.35 and 0.49, respectively). Intraclass correlation coefficients (ICC) were excellent for temporal gait characteristics (cadence and stride time; ICC: 0.99-1.00) and moderate for stride length (ICC: 0.73-0.89). Both devices had excellent day-to-day reliability for all gait parameters (ICC: 0.82-0.99) except for stride length at slow speed (ICC: 0.74). The RehaGait(®) is a valid and reliable tool for assessing spatiotemporal gait parameters for treadmill walking at different speeds and slopes.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometers; Body worn sensors; Gyroscope; Reproducibility; Spatiotemporal gait parameters; Validation

Mesh:

Year:  2016        PMID: 27494305     DOI: 10.1016/j.gaitpost.2016.07.269

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


  12 in total

1.  Teleassessment of Gait and Gait Aids: Validity and Interrater Reliability.

Authors:  Kavita Venkataraman; Kristopher Amis; Lawrence R Landerman; Kevin Caves; Gerald C Koh; Helen Hoenig
Journal:  Phys Ther       Date:  2020-04-17

Review 2.  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

Review 3.  Objective falls-risk prediction using wearable technologies amongst patients with and without neurogenic gait alterations: a narrative review of clinical feasibility.

Authors:  Callum M W Betteridge; Pragadesh Natarajan; R Dineth Fonseka; Daniel Ho; Ralph Mobbs; Wen Jie Choy
Journal:  Mhealth       Date:  2021-10-20

4.  A Unified Local-Global Feature Extraction Network for Human Gait Recognition Using Smartphone Sensors.

Authors:  Sonia Das; Sukadev Meher; Upendra Kumar Sahoo
Journal:  Sensors (Basel)       Date:  2022-05-24       Impact factor: 3.847

5.  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

6.  White Matter Changes-Related Gait and Executive Function Deficits: Associations with Age and Parkinson's Disease.

Authors:  Jennifer Sartor; Kristina Bettecken; Felix P Bernhard; Marc Hofmann; Till Gladow; Tobias Lindig; Meltem Ciliz; Mara Ten Kate; Johanna Geritz; Sebastian Heinzel; Marije Benedictus; Philip Scheltens; Markus A Hobert; Walter Maetzler
Journal:  Front Aging Neurosci       Date:  2017-06-30       Impact factor: 5.750

Review 7.  A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry.

Authors:  Salvatore Tedesco; John Barton; Brendan O'Flynn
Journal:  Sensors (Basel)       Date:  2017-06-03       Impact factor: 3.576

8.  Gait Variability Using Waist- and Ankle-Worn Inertial Measurement Units in Healthy Older Adults.

Authors:  Timo Rantalainen; Laura Karavirta; Henrikki Pirkola; Taina Rantanen; Vesa Linnamo
Journal:  Sensors (Basel)       Date:  2020-05-18       Impact factor: 3.576

9.  Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features.

Authors:  Wolfgang Teufl; Bertram Taetz; Markus Miezal; Michael Lorenz; Juliane Pietschmann; Thomas Jöllenbeck; Michael Fröhlich; Gabriele Bleser
Journal:  Sensors (Basel)       Date:  2019-11-16       Impact factor: 3.576

10.  Reliability of IMU-Derived Static Balance Parameters in Neurological Diseases.

Authors:  Clint Hansen; Maximilian Beckbauer; Robbin Romijnders; Elke Warmerdam; Julius Welzel; Johanna Geritz; Kirsten Emmert; Walter Maetzler
Journal:  Int J Environ Res Public Health       Date:  2021-03-31       Impact factor: 3.390

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