Quantifying coordination of human gait : fall risk and effects of aging
Thesis: S.B. in Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2019
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| Online Access: | https://hdl.handle.net/1721.1/123273 |
| _version_ | 1811091779357769728 |
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| author | Oeding, Jacob F. |
| author2 | Leia Stirling. |
| author_facet | Leia Stirling. Oeding, Jacob F. |
| author_sort | Oeding, Jacob F. |
| collection | MIT |
| description | Thesis: S.B. in Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 |
| first_indexed | 2024-09-23T15:07:52Z |
| format | Thesis |
| id | mit-1721.1/123273 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:07:52Z |
| publishDate | 2019 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1232732019-12-14T03:06:23Z Quantifying coordination of human gait : fall risk and effects of aging Fall risk and effects of aging Oeding, Jacob F. Leia Stirling. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: S.B. in Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 20-21). Falls have become an immense source of physical, social, and economic hardship among older adults. Compromised coordination, defined as a decrease in the ability to properly time the motion of body segments with one another, is thought to be one factor contributing to the high rate of falls in older populations. Thus, coordination is often used by clinicians as a measure to help identify a patient's risk of falling, as well as by therapists to design targeted rehabilitative programs with the goal of reducing that fall risk. However, these assessments are currently evaluated subjectively, motivating the need for an objective measure of coordination. The aims of this study were to assess age-related differences in inter-joint coordination during the timed "Up and Go" (TUG) test of functional movement in an attempt to provide more information regarding the underlying coordination patterns of older adults that might contribute to an increased fall risk. Motion data from fourteen older and fifteen young adults performing the TUG test were analyzed using the Relative Coordination Metric (RCM). Significant differences in TUG task completion time were found between young and old populations. While TUG task completion time has been shown to correlate strongly with fall risk, no significant differences in RCM values were found when averaging across the gait phases. While older adults might require more time to complete a TUG task, the basic inter-joint coordination patterns utilized during gait seems to be preserved, suggesting a potential mechanism by which the brain is able to compensate for physiological changes due to aging. by Jacob F. Oeding. S.B. in Engineering S.B.inEngineering Massachusetts Institute of Technology, Department of Mechanical Engineering 2019-12-13T19:01:57Z 2019-12-13T19:01:57Z 2019 2019 Thesis https://hdl.handle.net/1721.1/123273 1130229277 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 21 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Oeding, Jacob F. Quantifying coordination of human gait : fall risk and effects of aging |
| title | Quantifying coordination of human gait : fall risk and effects of aging |
| title_full | Quantifying coordination of human gait : fall risk and effects of aging |
| title_fullStr | Quantifying coordination of human gait : fall risk and effects of aging |
| title_full_unstemmed | Quantifying coordination of human gait : fall risk and effects of aging |
| title_short | Quantifying coordination of human gait : fall risk and effects of aging |
| title_sort | quantifying coordination of human gait fall risk and effects of aging |
| topic | Mechanical Engineering. |
| url | https://hdl.handle.net/1721.1/123273 |
| work_keys_str_mv | AT oedingjacobf quantifyingcoordinationofhumangaitfallriskandeffectsofaging AT oedingjacobf fallriskandeffectsofaging |