Cargando…
The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms
Quantifying kinematic gait for elderly people is a key factor for consideration in evaluating their overall health. However, gait analysis is often performed in the laboratory using optical sensors combined with reflective markers, which may delay the detection of health problems. This study aims to...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399401/ https://www.ncbi.nlm.nih.gov/pubmed/36032709 http://dx.doi.org/10.3389/fbioe.2022.857975 |
_version_ | 1784772512414957568 |
---|---|
author | Liang, Shengyun Zhang, Yu Diao, Yanan Li, Guanglin Zhao, Guoru |
author_facet | Liang, Shengyun Zhang, Yu Diao, Yanan Li, Guanglin Zhao, Guoru |
author_sort | Liang, Shengyun |
collection | PubMed |
description | Quantifying kinematic gait for elderly people is a key factor for consideration in evaluating their overall health. However, gait analysis is often performed in the laboratory using optical sensors combined with reflective markers, which may delay the detection of health problems. This study aims to develop a 3D markerless pose estimation system using OpenPose and 3DPoseNet algorithms. Moreover, 30 participants performed a walking task. Sample entropy was adopted to study dynamic signal irregularity degree for gait parameters. Paired-sample t-test and intra-class correlation coefficients were used to assess validity and reliability. Furthermore, the agreement between the data obtained by markerless and marker-based measurements was assessed by Bland–Altman analysis. ICC (C, 1) indicated the test–retest reliability within systems was in almost complete agreement. There were no significant differences between the sample entropy of knee angle and joint angles of the sagittal plane by the comparisons of joint angle results extracted from different systems (p > 0.05). ICC (A, 1) indicated the validity was substantial. This is supported by the Bland–Altman plot of the joint angles at maximum flexion. Optical motion capture and single-camera sensors were collected simultaneously, making it feasible to capture stride-to-stride variability. In addition, the sample entropy of angles was close to the ground_truth in the sagittal plane, indicating that our video analysis could be used as a quantitative assessment of gait, making outdoor applications feasible. |
format | Online Article Text |
id | pubmed-9399401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93994012022-08-25 The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms Liang, Shengyun Zhang, Yu Diao, Yanan Li, Guanglin Zhao, Guoru Front Bioeng Biotechnol Bioengineering and Biotechnology Quantifying kinematic gait for elderly people is a key factor for consideration in evaluating their overall health. However, gait analysis is often performed in the laboratory using optical sensors combined with reflective markers, which may delay the detection of health problems. This study aims to develop a 3D markerless pose estimation system using OpenPose and 3DPoseNet algorithms. Moreover, 30 participants performed a walking task. Sample entropy was adopted to study dynamic signal irregularity degree for gait parameters. Paired-sample t-test and intra-class correlation coefficients were used to assess validity and reliability. Furthermore, the agreement between the data obtained by markerless and marker-based measurements was assessed by Bland–Altman analysis. ICC (C, 1) indicated the test–retest reliability within systems was in almost complete agreement. There were no significant differences between the sample entropy of knee angle and joint angles of the sagittal plane by the comparisons of joint angle results extracted from different systems (p > 0.05). ICC (A, 1) indicated the validity was substantial. This is supported by the Bland–Altman plot of the joint angles at maximum flexion. Optical motion capture and single-camera sensors were collected simultaneously, making it feasible to capture stride-to-stride variability. In addition, the sample entropy of angles was close to the ground_truth in the sagittal plane, indicating that our video analysis could be used as a quantitative assessment of gait, making outdoor applications feasible. Frontiers Media S.A. 2022-08-10 /pmc/articles/PMC9399401/ /pubmed/36032709 http://dx.doi.org/10.3389/fbioe.2022.857975 Text en Copyright © 2022 Liang, Zhang, Diao, Li and Zhao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Liang, Shengyun Zhang, Yu Diao, Yanan Li, Guanglin Zhao, Guoru The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms |
title | The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms |
title_full | The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms |
title_fullStr | The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms |
title_full_unstemmed | The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms |
title_short | The reliability and validity of gait analysis system using 3D markerless pose estimation algorithms |
title_sort | reliability and validity of gait analysis system using 3d markerless pose estimation algorithms |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399401/ https://www.ncbi.nlm.nih.gov/pubmed/36032709 http://dx.doi.org/10.3389/fbioe.2022.857975 |
work_keys_str_mv | AT liangshengyun thereliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT zhangyu thereliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT diaoyanan thereliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT liguanglin thereliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT zhaoguoru thereliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT liangshengyun reliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT zhangyu reliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT diaoyanan reliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT liguanglin reliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms AT zhaoguoru reliabilityandvalidityofgaitanalysissystemusing3dmarkerlessposeestimationalgorithms |