Gait modifications for knee osteoarthritis : design, evaluation, and clinical translation
Abstract/Contents
- Abstract
- In individuals with knee osteoarthritis, the large forces transmitted through the tibiofemoral joint during walking are related to pain and disease progression. Gait retraining is a promising non-surgical treatment for knee osteoarthritis that aims to reduce knee loading by modifying an individual's walking pattern. This dissertation describes two gait modifications that reduce knee loading during walking: one by altering kinematics and another by altering muscle coordination. First, we demonstrated that training individuals with knee osteoarthritis to walk with a personalized foot progression angle modification improves pain and reduces knee loading more than a sham gait retraining control. However, the efficacy of this intervention hinges on our ability to prescribe personalized modifications that reduce each individual's knee loading. This process requires an expensive gait analysis laboratory that is not available in a clinical setting. To solve this problem, we developed an algorithm that, together with human pose estimation tools, will facilitate the measurement of knee loading using a smartphone camera. Finally, we used musculoskeletal simulations to design a biofeedback tool that teaches individuals to change their muscle coordination pattern in a way that reduces knee loading. These results suggest that muscle coordination retraining may be a promising new treatment for knee osteoarthritis. More generally, using simulations to design biofeedback devices that teach individuals to adopt more favorable movement patterns has applications in rehabilitation, injury prevention, and sports performance.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Uhlrich, Scott David | |
|---|---|---|
| Degree supervisor | Delp, Scott | |
| Thesis advisor | Delp, Scott | |
| Thesis advisor | Beaupré, Gary Scott | |
| Thesis advisor | Gold, Garry E | |
| Degree committee member | Beaupré, Gary Scott | |
| Degree committee member | Gold, Garry E | |
| Associated with | Stanford University, Department of Mechanical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Scott D. Uhlrich. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2020. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Scott David Uhlrich
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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