Identifying gait quality metrics sensitive to changes in lower limb constraint
AbstractGait quality is of significant interest in studies investigating interventions for individuals with gait pathology. A primary challenge in gait analysis is selecting an appropriate metric which adequately reflects aberrant deviations and provides an assessment of gait quality in individuals...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Cogent Engineering |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/23311916.2024.2312697 |
| _version_ | 1797302162250792960 |
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| author | Kinsey R. Herrin Samuel T. Kwak Chase G. Rock Young-Hui Chang |
| author_facet | Kinsey R. Herrin Samuel T. Kwak Chase G. Rock Young-Hui Chang |
| author_sort | Kinsey R. Herrin |
| collection | DOAJ |
| description | AbstractGait quality is of significant interest in studies investigating interventions for individuals with gait pathology. A primary challenge in gait analysis is selecting an appropriate metric which adequately reflects aberrant deviations and provides an assessment of gait quality in individuals with gait pathology. Metrics vary in definition of gait quality, and there is lack of consensus on an objective outcome measure for assessing gait; while three-dimensional gait analysis is the gold standard, metrics operationalizable in the form of wearable sensors would provide important information to clinicians and researchers without requiring a laboratory. In this study, we investigated and compared the ability of four metrics to detect aberrant gait through systematically applied joint constraint: Prosthetic Observational Gait Score (POGS), Impulse Asymmetry, Lateral Sway, and Gait Deviation Index (GDI). We analyze these metrics to understand their sensitivity and ability to detect systematic perturbed gait with an eye toward future operationalization in the form of a wearable sensor suite. We systematically applied four unilateral lower limb joint constraint conditions to nine able-bodied participants walking at three speeds creating four distinct gait patterns with variations from the baseline. Notably, POGS and GDI together distinguished five of six joint constraint comparisons, with each metric able to distinguish four joint constraint comparisons. Lateral Sway distinguished three joint constraint conditions and two speed conditions, while Impulse Asymmetry distinguished three constraint conditions. No single metric distinguished every condition. A single metric may be adequate for assessing specific gait features; however, multiple metrics are recommended for comprehensive assessment of pathological gait. |
| first_indexed | 2024-03-07T23:32:53Z |
| format | Article |
| id | doaj.art-a5fb4fe3939145a4af3554b5fd3ffe1e |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-07T23:32:53Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-a5fb4fe3939145a4af3554b5fd3ffe1e2024-02-20T11:30:00ZengTaylor & Francis GroupCogent Engineering2331-19162024-12-0111110.1080/23311916.2024.2312697Identifying gait quality metrics sensitive to changes in lower limb constraintKinsey R. Herrin0Samuel T. Kwak1Chase G. Rock2Young-Hui Chang3Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USASchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USASchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USAInstitute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USAAbstractGait quality is of significant interest in studies investigating interventions for individuals with gait pathology. A primary challenge in gait analysis is selecting an appropriate metric which adequately reflects aberrant deviations and provides an assessment of gait quality in individuals with gait pathology. Metrics vary in definition of gait quality, and there is lack of consensus on an objective outcome measure for assessing gait; while three-dimensional gait analysis is the gold standard, metrics operationalizable in the form of wearable sensors would provide important information to clinicians and researchers without requiring a laboratory. In this study, we investigated and compared the ability of four metrics to detect aberrant gait through systematically applied joint constraint: Prosthetic Observational Gait Score (POGS), Impulse Asymmetry, Lateral Sway, and Gait Deviation Index (GDI). We analyze these metrics to understand their sensitivity and ability to detect systematic perturbed gait with an eye toward future operationalization in the form of a wearable sensor suite. We systematically applied four unilateral lower limb joint constraint conditions to nine able-bodied participants walking at three speeds creating four distinct gait patterns with variations from the baseline. Notably, POGS and GDI together distinguished five of six joint constraint comparisons, with each metric able to distinguish four joint constraint comparisons. Lateral Sway distinguished three joint constraint conditions and two speed conditions, while Impulse Asymmetry distinguished three constraint conditions. No single metric distinguished every condition. A single metric may be adequate for assessing specific gait features; however, multiple metrics are recommended for comprehensive assessment of pathological gait.https://www.tandfonline.com/doi/10.1080/23311916.2024.2312697Gait analysisoutcome assessmentbiomechanicslocomotionasymmetrical walkingZhongmin Jin |
| spellingShingle | Kinsey R. Herrin Samuel T. Kwak Chase G. Rock Young-Hui Chang Identifying gait quality metrics sensitive to changes in lower limb constraint Cogent Engineering Gait analysis outcome assessment biomechanics locomotion asymmetrical walking Zhongmin Jin |
| title | Identifying gait quality metrics sensitive to changes in lower limb constraint |
| title_full | Identifying gait quality metrics sensitive to changes in lower limb constraint |
| title_fullStr | Identifying gait quality metrics sensitive to changes in lower limb constraint |
| title_full_unstemmed | Identifying gait quality metrics sensitive to changes in lower limb constraint |
| title_short | Identifying gait quality metrics sensitive to changes in lower limb constraint |
| title_sort | identifying gait quality metrics sensitive to changes in lower limb constraint |
| topic | Gait analysis outcome assessment biomechanics locomotion asymmetrical walking Zhongmin Jin |
| url | https://www.tandfonline.com/doi/10.1080/23311916.2024.2312697 |
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