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Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review

Our objective was to conduct a scoping review which summarizes the growing body of literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis. We searched six databases using predetermined search terms which highlighted the broad areas of inertial sensors, gait, and os...

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Autores principales: Kobsar, Dylan, Masood, Zaryan, Khan, Heba, Khalil, Noha, Kiwan, Marium Yossri, Ridd, Sarah, Tobis, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763184/
https://www.ncbi.nlm.nih.gov/pubmed/33322187
http://dx.doi.org/10.3390/s20247143
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author Kobsar, Dylan
Masood, Zaryan
Khan, Heba
Khalil, Noha
Kiwan, Marium Yossri
Ridd, Sarah
Tobis, Matthew
author_facet Kobsar, Dylan
Masood, Zaryan
Khan, Heba
Khalil, Noha
Kiwan, Marium Yossri
Ridd, Sarah
Tobis, Matthew
author_sort Kobsar, Dylan
collection PubMed
description Our objective was to conduct a scoping review which summarizes the growing body of literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis. We searched six databases using predetermined search terms which highlighted the broad areas of inertial sensors, gait, and osteoarthritis. Two authors independently conducted title and abstract reviews, followed by two authors independently completing full-text screenings. Study quality was also assessed by two independent raters and data were extracted by one reviewer in areas such as study design, osteoarthritis sample, protocols, and inertial sensor outcomes. A total of 72 articles were included, which studied the gait of 2159 adults with osteoarthritis (OA) using inertial sensors. The most common location of OA studied was the knee (n = 46), followed by the hip (n = 22), and the ankle (n = 7). The back (n = 41) and the shank (n = 40) were the most common placements for inertial sensors. The three most prevalent biomechanical outcomes studied were: mean spatiotemporal parameters (n = 45), segment or joint angles (n = 33), and linear acceleration magnitudes (n = 22). Our findings demonstrate exceptional growth in this field in the last 5 years. Nevertheless, there remains a need for more longitudinal study designs, patient-specific models, free-living assessments, and a push for “Code Reuse” to maximize the unique capabilities of these devices and ultimately improve how we diagnose and treat this debilitating disease.
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spelling pubmed-77631842020-12-27 Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review Kobsar, Dylan Masood, Zaryan Khan, Heba Khalil, Noha Kiwan, Marium Yossri Ridd, Sarah Tobis, Matthew Sensors (Basel) Review Our objective was to conduct a scoping review which summarizes the growing body of literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis. We searched six databases using predetermined search terms which highlighted the broad areas of inertial sensors, gait, and osteoarthritis. Two authors independently conducted title and abstract reviews, followed by two authors independently completing full-text screenings. Study quality was also assessed by two independent raters and data were extracted by one reviewer in areas such as study design, osteoarthritis sample, protocols, and inertial sensor outcomes. A total of 72 articles were included, which studied the gait of 2159 adults with osteoarthritis (OA) using inertial sensors. The most common location of OA studied was the knee (n = 46), followed by the hip (n = 22), and the ankle (n = 7). The back (n = 41) and the shank (n = 40) were the most common placements for inertial sensors. The three most prevalent biomechanical outcomes studied were: mean spatiotemporal parameters (n = 45), segment or joint angles (n = 33), and linear acceleration magnitudes (n = 22). Our findings demonstrate exceptional growth in this field in the last 5 years. Nevertheless, there remains a need for more longitudinal study designs, patient-specific models, free-living assessments, and a push for “Code Reuse” to maximize the unique capabilities of these devices and ultimately improve how we diagnose and treat this debilitating disease. MDPI 2020-12-13 /pmc/articles/PMC7763184/ /pubmed/33322187 http://dx.doi.org/10.3390/s20247143 Text en © 2020 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 Review
Kobsar, Dylan
Masood, Zaryan
Khan, Heba
Khalil, Noha
Kiwan, Marium Yossri
Ridd, Sarah
Tobis, Matthew
Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
title Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
title_full Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
title_fullStr Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
title_full_unstemmed Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
title_short Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
title_sort wearable inertial sensors for gait analysis in adults with osteoarthritis—a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763184/
https://www.ncbi.nlm.nih.gov/pubmed/33322187
http://dx.doi.org/10.3390/s20247143
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