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Advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review

BACKGROUND: Wearable sensors have become a complementary means for evaluation of body function and gait in lower limb osteoarthritis. This study aimed to review the applications of wearable sensors for gait analysis after total knee arthroplasty (TKA). METHODS: Five databases, including Web of Scien...

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Autores principales: Feng, Yuguo, Liu, Yu, Fang, Yuan, Chang, Jin, Deng, Fei, Liu, Jin, Xiong, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544450/
https://www.ncbi.nlm.nih.gov/pubmed/37779198
http://dx.doi.org/10.1186/s42836-023-00204-4
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author Feng, Yuguo
Liu, Yu
Fang, Yuan
Chang, Jin
Deng, Fei
Liu, Jin
Xiong, Yan
author_facet Feng, Yuguo
Liu, Yu
Fang, Yuan
Chang, Jin
Deng, Fei
Liu, Jin
Xiong, Yan
author_sort Feng, Yuguo
collection PubMed
description BACKGROUND: Wearable sensors have become a complementary means for evaluation of body function and gait in lower limb osteoarthritis. This study aimed to review the applications of wearable sensors for gait analysis after total knee arthroplasty (TKA). METHODS: Five databases, including Web of Science Core Collection, Embase, Cochrane, Medline, and PubMed, were searched for articles published between January 2010 and March 2023, using predetermined search terms that focused on wearable sensors, TKA, and gait analysis as broad areas of interest. RESULTS: A total of 25 articles were identified, involving 823 TKA patients. Methodologies varied widely across the articles, with inconsistencies found in reported patient characteristics, sensor data and experimental protocols. Patient-reported outcome measures (PROMs) and gait variables showed various recovery times from 1 week postoperatively to 5 years postoperatively. Gait analysis using wearable sensors and PROMs showed differences in controlled environments, daily life, and when comparing different surgeries. CONCLUSION: Wearable sensors offered the potential to remotely monitor the gait function post-TKA in both controlled environments and patients’ daily life, and covered more aspects than PROMs. More cohort longitudinal studies are warranted to further confirm the benefits of this remote technology in clinical practice.
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spelling pubmed-105444502023-10-03 Advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review Feng, Yuguo Liu, Yu Fang, Yuan Chang, Jin Deng, Fei Liu, Jin Xiong, Yan Arthroplasty Review BACKGROUND: Wearable sensors have become a complementary means for evaluation of body function and gait in lower limb osteoarthritis. This study aimed to review the applications of wearable sensors for gait analysis after total knee arthroplasty (TKA). METHODS: Five databases, including Web of Science Core Collection, Embase, Cochrane, Medline, and PubMed, were searched for articles published between January 2010 and March 2023, using predetermined search terms that focused on wearable sensors, TKA, and gait analysis as broad areas of interest. RESULTS: A total of 25 articles were identified, involving 823 TKA patients. Methodologies varied widely across the articles, with inconsistencies found in reported patient characteristics, sensor data and experimental protocols. Patient-reported outcome measures (PROMs) and gait variables showed various recovery times from 1 week postoperatively to 5 years postoperatively. Gait analysis using wearable sensors and PROMs showed differences in controlled environments, daily life, and when comparing different surgeries. CONCLUSION: Wearable sensors offered the potential to remotely monitor the gait function post-TKA in both controlled environments and patients’ daily life, and covered more aspects than PROMs. More cohort longitudinal studies are warranted to further confirm the benefits of this remote technology in clinical practice. BioMed Central 2023-10-02 /pmc/articles/PMC10544450/ /pubmed/37779198 http://dx.doi.org/10.1186/s42836-023-00204-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Feng, Yuguo
Liu, Yu
Fang, Yuan
Chang, Jin
Deng, Fei
Liu, Jin
Xiong, Yan
Advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review
title Advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review
title_full Advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review
title_fullStr Advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review
title_full_unstemmed Advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review
title_short Advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review
title_sort advances in the application of wearable sensors for gait analysis after total knee arthroplasty: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544450/
https://www.ncbi.nlm.nih.gov/pubmed/37779198
http://dx.doi.org/10.1186/s42836-023-00204-4
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