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Development of the circumduction metric for identification of cervical motion impairment
INTRODUCTION: Chronic neck pain results in considerable personal, clinical, and societal burden. It consistently ranks among the top three pain-related reasons for seeking healthcare. Despite its prevalence, neck pain is difficult to both assess and treat. Quantitative approaches are required since...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6453104/ https://www.ncbi.nlm.nih.gov/pubmed/31191942 http://dx.doi.org/10.1177/2055668318777984 |
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author | Zhou, Yue Loh, Eldon Dickey, James P Walton, David M Trejos, Ana Luisa |
author_facet | Zhou, Yue Loh, Eldon Dickey, James P Walton, David M Trejos, Ana Luisa |
author_sort | Zhou, Yue |
collection | PubMed |
description | INTRODUCTION: Chronic neck pain results in considerable personal, clinical, and societal burden. It consistently ranks among the top three pain-related reasons for seeking healthcare. Despite its prevalence, neck pain is difficult to both assess and treat. Quantitative approaches are required since diagnostic imaging techniques rarely provide information on movement-related neck pain, and most common clinical assessment tools are limited to single plane motion measurement. METHODS: In this study, the ability of an inertial measurement unit to document the cervical motion characteristics of 28 people with chronic neck pain and 23 healthy controls was assessed. A total of six circumduction metrics and one neck circumduction trajectory model were proposed as identification metrics. RESULTS: Five metrics demonstrated significant differences between the two groups. The neck circumduction trajectory model successfully distinguished between the two groups. DISCUSSION: The evaluation of the proposed metrics provides proof of concept that novel metrics can be captured with relative ease in the clinical setting using an inexpensive wearable sensor headband. The derivation of the proposed model may open new lines of inquiry into the clinical utility of assessing the multiplanar movement of cervical circumduction. The results obtained from this study also provide additional insight for the development of a sensitive, quantifiable and real-world neck evaluation strategies. |
format | Online Article Text |
id | pubmed-6453104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-64531042019-06-12 Development of the circumduction metric for identification of cervical motion impairment Zhou, Yue Loh, Eldon Dickey, James P Walton, David M Trejos, Ana Luisa J Rehabil Assist Technol Eng Special Collection: Wearable Technologies for Active Living and Rehabilitation: Original Research Article INTRODUCTION: Chronic neck pain results in considerable personal, clinical, and societal burden. It consistently ranks among the top three pain-related reasons for seeking healthcare. Despite its prevalence, neck pain is difficult to both assess and treat. Quantitative approaches are required since diagnostic imaging techniques rarely provide information on movement-related neck pain, and most common clinical assessment tools are limited to single plane motion measurement. METHODS: In this study, the ability of an inertial measurement unit to document the cervical motion characteristics of 28 people with chronic neck pain and 23 healthy controls was assessed. A total of six circumduction metrics and one neck circumduction trajectory model were proposed as identification metrics. RESULTS: Five metrics demonstrated significant differences between the two groups. The neck circumduction trajectory model successfully distinguished between the two groups. DISCUSSION: The evaluation of the proposed metrics provides proof of concept that novel metrics can be captured with relative ease in the clinical setting using an inexpensive wearable sensor headband. The derivation of the proposed model may open new lines of inquiry into the clinical utility of assessing the multiplanar movement of cervical circumduction. The results obtained from this study also provide additional insight for the development of a sensitive, quantifiable and real-world neck evaluation strategies. SAGE Publications 2018-07-25 /pmc/articles/PMC6453104/ /pubmed/31191942 http://dx.doi.org/10.1177/2055668318777984 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Collection: Wearable Technologies for Active Living and Rehabilitation: Original Research Article Zhou, Yue Loh, Eldon Dickey, James P Walton, David M Trejos, Ana Luisa Development of the circumduction metric for identification of cervical motion impairment |
title | Development of the circumduction metric for identification of
cervical motion impairment |
title_full | Development of the circumduction metric for identification of
cervical motion impairment |
title_fullStr | Development of the circumduction metric for identification of
cervical motion impairment |
title_full_unstemmed | Development of the circumduction metric for identification of
cervical motion impairment |
title_short | Development of the circumduction metric for identification of
cervical motion impairment |
title_sort | development of the circumduction metric for identification of
cervical motion impairment |
topic | Special Collection: Wearable Technologies for Active Living and Rehabilitation: Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6453104/ https://www.ncbi.nlm.nih.gov/pubmed/31191942 http://dx.doi.org/10.1177/2055668318777984 |
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