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Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System

This study aims to measure and compare spatiotemporal gait parameters in nineteen subjects using a full wearable inertial mocap system Xsens (MVN Awinda, Netherlands) and a photoelectronic system one-meter OptoGait(TM) (Microgait, Italy) on a treadmill imposing a walking speed of 5 km/h. A total of...

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Autores principales: Scataglini, Sofia, Verwulgen, Stijn, Roosens, Eddy, Haelterman, Robby, Van Tiggelen, Damien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271716/
https://www.ncbi.nlm.nih.gov/pubmed/34209518
http://dx.doi.org/10.3390/s21134441
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author Scataglini, Sofia
Verwulgen, Stijn
Roosens, Eddy
Haelterman, Robby
Van Tiggelen, Damien
author_facet Scataglini, Sofia
Verwulgen, Stijn
Roosens, Eddy
Haelterman, Robby
Van Tiggelen, Damien
author_sort Scataglini, Sofia
collection PubMed
description This study aims to measure and compare spatiotemporal gait parameters in nineteen subjects using a full wearable inertial mocap system Xsens (MVN Awinda, Netherlands) and a photoelectronic system one-meter OptoGait(TM) (Microgait, Italy) on a treadmill imposing a walking speed of 5 km/h. A total of eleven steps were considered for each subject constituting a dataset of 209 samples from which spatiotemporal parameters (SPT) were calculated. The step length measurement was determined using two methods. The first one considers the calculation of step length based on the inverted pendulum model, while the second considers an anthropometric approach that correlates the stature with an anthropometric coefficient. Although the absolute agreement and consistency were found for the calculation of the stance phase, cadence and gait cycle, from our study, differences in SPT were found between the two systems. Mean square error (MSE) calculation of their speed (m/s) with respect to the imposed speed on a treadmill reveals a smaller error (MSE = 0.0008) using the OptoGait(TM). Overall, our results indicate that the accurate detection of heel strike and toe-off have an influence on phases and sub-phases for the entire acquisition. Future study in this domain should investigate how to design and integrate better products and algorithms aiming to solve the problematic issues already identified in this study without limiting the user’s need and performance in a different environment.
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spelling pubmed-82717162021-07-11 Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System Scataglini, Sofia Verwulgen, Stijn Roosens, Eddy Haelterman, Robby Van Tiggelen, Damien Sensors (Basel) Article This study aims to measure and compare spatiotemporal gait parameters in nineteen subjects using a full wearable inertial mocap system Xsens (MVN Awinda, Netherlands) and a photoelectronic system one-meter OptoGait(TM) (Microgait, Italy) on a treadmill imposing a walking speed of 5 km/h. A total of eleven steps were considered for each subject constituting a dataset of 209 samples from which spatiotemporal parameters (SPT) were calculated. The step length measurement was determined using two methods. The first one considers the calculation of step length based on the inverted pendulum model, while the second considers an anthropometric approach that correlates the stature with an anthropometric coefficient. Although the absolute agreement and consistency were found for the calculation of the stance phase, cadence and gait cycle, from our study, differences in SPT were found between the two systems. Mean square error (MSE) calculation of their speed (m/s) with respect to the imposed speed on a treadmill reveals a smaller error (MSE = 0.0008) using the OptoGait(TM). Overall, our results indicate that the accurate detection of heel strike and toe-off have an influence on phases and sub-phases for the entire acquisition. Future study in this domain should investigate how to design and integrate better products and algorithms aiming to solve the problematic issues already identified in this study without limiting the user’s need and performance in a different environment. MDPI 2021-06-29 /pmc/articles/PMC8271716/ /pubmed/34209518 http://dx.doi.org/10.3390/s21134441 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Scataglini, Sofia
Verwulgen, Stijn
Roosens, Eddy
Haelterman, Robby
Van Tiggelen, Damien
Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System
title Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System
title_full Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System
title_fullStr Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System
title_full_unstemmed Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System
title_short Measuring Spatiotemporal Parameters on Treadmill Walking Using Wearable Inertial System
title_sort measuring spatiotemporal parameters on treadmill walking using wearable inertial system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271716/
https://www.ncbi.nlm.nih.gov/pubmed/34209518
http://dx.doi.org/10.3390/s21134441
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