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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...

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Autores principales: Swart, Eric, Peindl, Richard, Zheng, Nigel, Habet, Nahir, Churchill, Christine, Ruder, John Adam, Seymour, Rachel, Karunakar, Madhav, Kellam, James, Sims, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
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.
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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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