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Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters

The aim of this study was to assess the validity and test-retest reliability of an inertial measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a 6-min walking test and were instrumented with seven IMUs and retroreflective markers. A kinematic approach was used to...

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Autores principales: Teufl, Wolfgang, Lorenz, Michael, Miezal, Markus, Taetz, Bertram, Fröhlich, Michael, Bleser, Gabriele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339047/
https://www.ncbi.nlm.nih.gov/pubmed/30583508
http://dx.doi.org/10.3390/s19010038
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author Teufl, Wolfgang
Lorenz, Michael
Miezal, Markus
Taetz, Bertram
Fröhlich, Michael
Bleser, Gabriele
author_facet Teufl, Wolfgang
Lorenz, Michael
Miezal, Markus
Taetz, Bertram
Fröhlich, Michael
Bleser, Gabriele
author_sort Teufl, Wolfgang
collection PubMed
description The aim of this study was to assess the validity and test-retest reliability of an inertial measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a 6-min walking test and were instrumented with seven IMUs and retroreflective markers. A kinematic approach was used to estimate the initial and terminal contact events in real-time. Based on these events twelve spatio-temporal parameters (STP) were calculated. A marker based optical motion capture (OMC) system provided the reference. Event-detection rate was about 99%. Detection offset was below 0.017 s. Relative root mean square error (RMSE) ranged from 0.90% to 4.40% for most parameters. However, the parameters that require spatial information of both feet showed higher errors. Step length showed a relative RMSE of 6.69%. Step width and swing width revealed the highest relative RMSE (34.34% and 35.20%). Test-retest results ranged from 0.67 to 0.92, except for the step width (0.25). Summarizing, it appears that the parameters describing the lateral distance between the feet need further improvement. However, the results of the validity and reliability of the IMU system encourage its validation in clinical settings as well as further research.
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spelling pubmed-63390472019-01-23 Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters Teufl, Wolfgang Lorenz, Michael Miezal, Markus Taetz, Bertram Fröhlich, Michael Bleser, Gabriele Sensors (Basel) Article The aim of this study was to assess the validity and test-retest reliability of an inertial measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a 6-min walking test and were instrumented with seven IMUs and retroreflective markers. A kinematic approach was used to estimate the initial and terminal contact events in real-time. Based on these events twelve spatio-temporal parameters (STP) were calculated. A marker based optical motion capture (OMC) system provided the reference. Event-detection rate was about 99%. Detection offset was below 0.017 s. Relative root mean square error (RMSE) ranged from 0.90% to 4.40% for most parameters. However, the parameters that require spatial information of both feet showed higher errors. Step length showed a relative RMSE of 6.69%. Step width and swing width revealed the highest relative RMSE (34.34% and 35.20%). Test-retest results ranged from 0.67 to 0.92, except for the step width (0.25). Summarizing, it appears that the parameters describing the lateral distance between the feet need further improvement. However, the results of the validity and reliability of the IMU system encourage its validation in clinical settings as well as further research. MDPI 2018-12-22 /pmc/articles/PMC6339047/ /pubmed/30583508 http://dx.doi.org/10.3390/s19010038 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Teufl, Wolfgang
Lorenz, Michael
Miezal, Markus
Taetz, Bertram
Fröhlich, Michael
Bleser, Gabriele
Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_full Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_fullStr Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_full_unstemmed Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_short Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
title_sort towards inertial sensor based mobile gait analysis: event-detection and spatio-temporal parameters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339047/
https://www.ncbi.nlm.nih.gov/pubmed/30583508
http://dx.doi.org/10.3390/s19010038
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