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Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision

With the changes in human work and lifestyle, the incidence of cervical spondylosis is increasing substantially, especially for adolescents. Cervical spine exercises are an important means to prevent and rehabilitate cervical spine diseases, but no mature unmanned evaluating and monitoring system fo...

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Detalles Bibliográficos
Autores principales: Du, Qiwei, Bai, Heting, Zhu, Zhongpan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146026/
https://www.ncbi.nlm.nih.gov/pubmed/37112166
http://dx.doi.org/10.3390/s23083825
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author Du, Qiwei
Bai, Heting
Zhu, Zhongpan
author_facet Du, Qiwei
Bai, Heting
Zhu, Zhongpan
author_sort Du, Qiwei
collection PubMed
description With the changes in human work and lifestyle, the incidence of cervical spondylosis is increasing substantially, especially for adolescents. Cervical spine exercises are an important means to prevent and rehabilitate cervical spine diseases, but no mature unmanned evaluating and monitoring system for cervical spine rehabilitation training has been proposed. Patients often lack the guidance of a physician and are at risk of injury during the exercise process. In this paper, we first propose a cervical spine exercise assessment method based on a multi-task computer vision algorithm, which can replace physicians to guide patients to perform rehabilitation exercises and evaluations. The model based on the Mediapipe framework is set up to construct a face mesh and extract features to calculate the head pose angles in 3-DOF (three degrees of freedom). Then, the sequential angular velocity in 3-DOF is calculated based on the angle data acquired by the computer vision algorithm mentioned above. After that, the cervical vertebra rehabilitation evaluation system and index parameters are analyzed by data acquisition and experimental analysis of cervical vertebra exercises. A privacy encryption algorithm combining YOLOv5 and mosaic noise mixing with head posture information is proposed to protect the privacy of the patient’s face. The results show that our algorithm has good repeatability and can effectively reflect the health status of the patient’s cervical spine.
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spelling pubmed-101460262023-04-29 Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision Du, Qiwei Bai, Heting Zhu, Zhongpan Sensors (Basel) Article With the changes in human work and lifestyle, the incidence of cervical spondylosis is increasing substantially, especially for adolescents. Cervical spine exercises are an important means to prevent and rehabilitate cervical spine diseases, but no mature unmanned evaluating and monitoring system for cervical spine rehabilitation training has been proposed. Patients often lack the guidance of a physician and are at risk of injury during the exercise process. In this paper, we first propose a cervical spine exercise assessment method based on a multi-task computer vision algorithm, which can replace physicians to guide patients to perform rehabilitation exercises and evaluations. The model based on the Mediapipe framework is set up to construct a face mesh and extract features to calculate the head pose angles in 3-DOF (three degrees of freedom). Then, the sequential angular velocity in 3-DOF is calculated based on the angle data acquired by the computer vision algorithm mentioned above. After that, the cervical vertebra rehabilitation evaluation system and index parameters are analyzed by data acquisition and experimental analysis of cervical vertebra exercises. A privacy encryption algorithm combining YOLOv5 and mosaic noise mixing with head posture information is proposed to protect the privacy of the patient’s face. The results show that our algorithm has good repeatability and can effectively reflect the health status of the patient’s cervical spine. MDPI 2023-04-08 /pmc/articles/PMC10146026/ /pubmed/37112166 http://dx.doi.org/10.3390/s23083825 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Du, Qiwei
Bai, Heting
Zhu, Zhongpan
Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision
title Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision
title_full Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision
title_fullStr Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision
title_full_unstemmed Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision
title_short Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision
title_sort intelligent evaluation method of human cervical vertebra rehabilitation based on computer vision
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146026/
https://www.ncbi.nlm.nih.gov/pubmed/37112166
http://dx.doi.org/10.3390/s23083825
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