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Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+(TM)) to the Laboratory Standard of Static Motion Capture Camera Analysis
Examination of gait patterns has been used to determine severity, intervention triage and prognostic measures for many health conditions. Methods that generate detailed gait data for clinical use are typically logistically constrained to a formal gait laboratory setting. This has led to an interest...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824443/ https://www.ncbi.nlm.nih.gov/pubmed/36617135 http://dx.doi.org/10.3390/s23010537 |
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author | Homes, Ryan Clark, Devon Moridzadeh, Sina Tosovic, Danijel Van den Hoorn, Wolbert Tucker, Kylie Midwinter, Mark |
author_facet | Homes, Ryan Clark, Devon Moridzadeh, Sina Tosovic, Danijel Van den Hoorn, Wolbert Tucker, Kylie Midwinter, Mark |
author_sort | Homes, Ryan |
collection | PubMed |
description | Examination of gait patterns has been used to determine severity, intervention triage and prognostic measures for many health conditions. Methods that generate detailed gait data for clinical use are typically logistically constrained to a formal gait laboratory setting. This has led to an interest in portable analysis systems for near clinical or community-based assessments. The following study assessed with the wearable accelerometer/gyroscopic, gait analysis system (LEGSYS+(TM)) and the standard of static motion capture camera (MOCAP) analysis during a treadmill walk at three different walking speeds in healthy participants (n = 15). To compare each speed, 20 strides were selected from the MOCAP data and compared with the LEGSYS+ strides at the same time point. Both scatter and bland-Altman plots with accompanying linear regression analysis for each of the parameters. Each stride parameter showed minimal or a consistent difference between the LEGSYS+ and MOCAP, with the phase parameters showing inconsistencies between the systems. Overall, LEGSYS+ stride parameters can be used in the clinical setting, with the utility of phase parameters needing to be taken with caution. |
format | Online Article Text |
id | pubmed-9824443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98244432023-01-08 Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+(TM)) to the Laboratory Standard of Static Motion Capture Camera Analysis Homes, Ryan Clark, Devon Moridzadeh, Sina Tosovic, Danijel Van den Hoorn, Wolbert Tucker, Kylie Midwinter, Mark Sensors (Basel) Article Examination of gait patterns has been used to determine severity, intervention triage and prognostic measures for many health conditions. Methods that generate detailed gait data for clinical use are typically logistically constrained to a formal gait laboratory setting. This has led to an interest in portable analysis systems for near clinical or community-based assessments. The following study assessed with the wearable accelerometer/gyroscopic, gait analysis system (LEGSYS+(TM)) and the standard of static motion capture camera (MOCAP) analysis during a treadmill walk at three different walking speeds in healthy participants (n = 15). To compare each speed, 20 strides were selected from the MOCAP data and compared with the LEGSYS+ strides at the same time point. Both scatter and bland-Altman plots with accompanying linear regression analysis for each of the parameters. Each stride parameter showed minimal or a consistent difference between the LEGSYS+ and MOCAP, with the phase parameters showing inconsistencies between the systems. Overall, LEGSYS+ stride parameters can be used in the clinical setting, with the utility of phase parameters needing to be taken with caution. MDPI 2023-01-03 /pmc/articles/PMC9824443/ /pubmed/36617135 http://dx.doi.org/10.3390/s23010537 Text en © 2023 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 Homes, Ryan Clark, Devon Moridzadeh, Sina Tosovic, Danijel Van den Hoorn, Wolbert Tucker, Kylie Midwinter, Mark Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+(TM)) to the Laboratory Standard of Static Motion Capture Camera Analysis |
title | Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+(TM)) to the Laboratory Standard of Static Motion Capture Camera Analysis |
title_full | Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+(TM)) to the Laboratory Standard of Static Motion Capture Camera Analysis |
title_fullStr | Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+(TM)) to the Laboratory Standard of Static Motion Capture Camera Analysis |
title_full_unstemmed | Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+(TM)) to the Laboratory Standard of Static Motion Capture Camera Analysis |
title_short | Comparison of a Wearable Accelerometer/Gyroscopic, Portable Gait Analysis System (LEGSYS+(TM)) to the Laboratory Standard of Static Motion Capture Camera Analysis |
title_sort | comparison of a wearable accelerometer/gyroscopic, portable gait analysis system (legsys+(tm)) to the laboratory standard of static motion capture camera analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824443/ https://www.ncbi.nlm.nih.gov/pubmed/36617135 http://dx.doi.org/10.3390/s23010537 |
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