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Electronically augmented gait abnormality assessment following lower extremity trauma
BACKGROUND: Objective evaluation of patient outcomes has become an essential component of patient management. Along with patient-reported outcomes, performance-based measures (PBMs) such as gait analysis are an important part of this evaluation. The purpose of this study was to evaluate the validity...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997086/ https://www.ncbi.nlm.nih.gov/pubmed/33937664 http://dx.doi.org/10.1097/OI9.0000000000000032 |
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author | Swart, Eric Peindl, Richard Zheng, Nigel Habet, Nahir Churchill, Christine Ruder, John Adam Seymour, Rachel Karunakar, Madhav Kellam, James Sims, Stephen |
author_facet | Swart, Eric Peindl, Richard Zheng, Nigel Habet, Nahir Churchill, Christine Ruder, John Adam Seymour, Rachel Karunakar, Madhav Kellam, James Sims, Stephen |
author_sort | Swart, Eric |
collection | PubMed |
description | BACKGROUND: Objective evaluation of patient outcomes has become an essential component of patient management. Along with patient-reported outcomes, performance-based measures (PBMs) such as gait analysis are an important part of this evaluation. The purpose of this study was to evaluate the validity of utilizing a wearable inertial measurement unit (IMU) in an outpatient clinic setting to assess its ability to provide clinically relevant data in patients with altered gait resulting from lower extremity trauma. METHODS: Five orthopaedic trauma patients with varying degrees of gait pathologies were compared to 5 healthy control subjects. Kinematic data were simultaneously recorded by the IMU and a gold standard Vicon video motion analysis system (Vicon Motion Systems Ltd, Oxford, UK) during a modified 10-m walk test. Raw data captured by the IMU were directly compared to Vicon data. Additionally, 5 objective gait parameters were compared for controls and the 5 trauma patients. RESULTS: The IMU data streams strongly correlated with Vicon data for measured variables used in the subsequent gait analysis: vertical acceleration, vertical displacement, pitch angular velocity, and roll angular velocity (Pearson r-value > 0.9 for all correlations). Quantitative kinematic data in post-trauma patients significantly differed from control data and correlated with observed gait pathology. CONCLUSIONS: When compared to the gold standard motion capture reference system (Vicon), an IMU can reliably and accurately measure clinically relevant gait parameters and differentiate between normal and pathologic gait patterns. This technology is easily integrated into clinical settings, requires minimal time, and represents a performance-based method for quantifiably assessing gait outcomes. LEVEL OF EVIDENCE: Diagnostic Level 1. |
format | Online Article Text |
id | pubmed-7997086 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-79970862021-04-29 Electronically augmented gait abnormality assessment following lower extremity trauma Swart, Eric Peindl, Richard Zheng, Nigel Habet, Nahir Churchill, Christine Ruder, John Adam Seymour, Rachel Karunakar, Madhav Kellam, James Sims, Stephen OTA Int OTA Funding Award Winner BACKGROUND: Objective evaluation of patient outcomes has become an essential component of patient management. Along with patient-reported outcomes, performance-based measures (PBMs) such as gait analysis are an important part of this evaluation. The purpose of this study was to evaluate the validity of utilizing a wearable inertial measurement unit (IMU) in an outpatient clinic setting to assess its ability to provide clinically relevant data in patients with altered gait resulting from lower extremity trauma. METHODS: Five orthopaedic trauma patients with varying degrees of gait pathologies were compared to 5 healthy control subjects. Kinematic data were simultaneously recorded by the IMU and a gold standard Vicon video motion analysis system (Vicon Motion Systems Ltd, Oxford, UK) during a modified 10-m walk test. Raw data captured by the IMU were directly compared to Vicon data. Additionally, 5 objective gait parameters were compared for controls and the 5 trauma patients. RESULTS: The IMU data streams strongly correlated with Vicon data for measured variables used in the subsequent gait analysis: vertical acceleration, vertical displacement, pitch angular velocity, and roll angular velocity (Pearson r-value > 0.9 for all correlations). Quantitative kinematic data in post-trauma patients significantly differed from control data and correlated with observed gait pathology. CONCLUSIONS: When compared to the gold standard motion capture reference system (Vicon), an IMU can reliably and accurately measure clinically relevant gait parameters and differentiate between normal and pathologic gait patterns. This technology is easily integrated into clinical settings, requires minimal time, and represents a performance-based method for quantifiably assessing gait outcomes. LEVEL OF EVIDENCE: Diagnostic Level 1. Wolters Kluwer Health 2019-05-14 /pmc/articles/PMC7997086/ /pubmed/33937664 http://dx.doi.org/10.1097/OI9.0000000000000032 Text en Copyright © 2019 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Orthopaedic Trauma Association. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | OTA Funding Award Winner Swart, Eric Peindl, Richard Zheng, Nigel Habet, Nahir Churchill, Christine Ruder, John Adam Seymour, Rachel Karunakar, Madhav Kellam, James Sims, Stephen Electronically augmented gait abnormality assessment following lower extremity trauma |
title | Electronically augmented gait abnormality assessment following lower extremity trauma |
title_full | Electronically augmented gait abnormality assessment following lower extremity trauma |
title_fullStr | Electronically augmented gait abnormality assessment following lower extremity trauma |
title_full_unstemmed | Electronically augmented gait abnormality assessment following lower extremity trauma |
title_short | Electronically augmented gait abnormality assessment following lower extremity trauma |
title_sort | electronically augmented gait abnormality assessment following lower extremity trauma |
topic | OTA Funding Award Winner |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997086/ https://www.ncbi.nlm.nih.gov/pubmed/33937664 http://dx.doi.org/10.1097/OI9.0000000000000032 |
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