Literature DB >> 22087019

A comparison of algorithms for body-worn sensor-based spatiotemporal gait parameters to the GAITRite electronic walkway.

Barry R Greene1, Timothy G Foran, Denise McGrath, Emer P Doheny, Adrian Burns, Brian Caulfield.   

Abstract

This study compares the performance of algorithms for body-worn sensors used with a spatiotemporal gait analysis platform to the GAITRite electronic walkway. The mean error in detection time (true error) for heel strike and toe-off was 33.9 ± 10.4 ms and 3.8 ± 28.7 ms, respectively. The ICC for temporal parameters step, stride, swing and stance time was found to be greater than 0.84, indicating good agreement. Similarly, for spatial gait parameters--stride length and velocity--the ICC was found to be greater than 0.88. Results show good to excellent concurrent validity in spatiotemporal gait parameters, at three different walking speeds (best agreement observed at normal walking speed). The reported algorithms for body-worn sensors are comparable to the GAITRite electronic walkway for measurement of spatiotemporal gait parameters in healthy subjects.

Mesh:

Year:  2011        PMID: 22087019     DOI: 10.1123/jab.28.3.349

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  14 in total

1.  Instrumenting gait with an accelerometer: a system and algorithm examination.

Authors:  A Godfrey; S Del Din; G Barry; J C Mathers; L Rochester
Journal:  Med Eng Phys       Date:  2015-03-04       Impact factor: 2.242

2.  Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: application to elderly, hemiparetic, parkinsonian and choreic gait.

Authors:  Diana Trojaniello; Andrea Cereatti; Elisa Pelosin; Laura Avanzino; Anat Mirelman; Jeffrey M Hausdorff; Ugo Della Croce
Journal:  J Neuroeng Rehabil       Date:  2014-11-11       Impact factor: 4.262

Review 3.  Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis.

Authors:  Camille J Shanahan; Frederique M C Boonstra; L Eduardo Cofré Lizama; Myrte Strik; Bradford A Moffat; Fary Khan; Trevor J Kilpatrick; Anneke van der Walt; Mary P Galea; Scott C Kolbe
Journal:  Front Neurol       Date:  2018-02-02       Impact factor: 4.003

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.  Template-Based Step Detection with Inertial Measurement Units.

Authors:  Laurent Oudre; Rémi Barrois-Müller; Thomas Moreau; Charles Truong; Aliénor Vienne-Jumeau; Damien Ricard; Nicolas Vayatis; Pierre-Paul Vidal
Journal:  Sensors (Basel)       Date:  2018-11-19       Impact factor: 3.576

6.  The validity of spatiotemporal gait analysis using dual laser range sensors: a cross-sectional study.

Authors:  Masanobu Iwai; Soichiro Koyama; Shigeo Tanabe; Shohei Osawa; Kazuya Takeda; Ikuo Motoya; Hiroaki Sakurai; Yoshikiyo Kanada; Nobutoshi Kawamura
Journal:  Arch Physiother       Date:  2019-02-19

7.  Validity and reliability of a portable gait analysis system for measuring spatiotemporal gait characteristics: comparison to an instrumented treadmill.

Authors:  Lars Donath; Oliver Faude; Eric Lichtenstein; Corina Nüesch; Annegret Mündermann
Journal:  J Neuroeng Rehabil       Date:  2016-01-20       Impact factor: 4.262

Review 8.  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

9.  A Multi-Sensor Matched Filter Approach to Robust Segmentation of Assisted Gait.

Authors:  Satinder Gill; Nitin Seth; Erik Scheme
Journal:  Sensors (Basel)       Date:  2018-09-06       Impact factor: 3.576

10.  Non-Linear Template-Based Approach for the Study of Locomotion.

Authors:  Tristan Dot; Flavien Quijoux; Laurent Oudre; Aliénor Vienne-Jumeau; Albane Moreau; Pierre-Paul Vidal; Damien Ricard
Journal:  Sensors (Basel)       Date:  2020-03-30       Impact factor: 3.576

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