Digital tools to enable large-scale access to biomechanical assessment
Abstract/Contents
- Abstract
- How we move and how much we move profoundly affect our health and wellbeing. In biomechanics, we analyze movement to help identify, monitor, and treat diseases and disorders that impact movement. However, biomechanical assessments and interventions have historically been restricted to expensive laboratory settings. My thesis work includes three studies that leverage advancements in computer science, biomechanics, and psychology to translate biomechanical interventions to a clinical or home setting. First, we developed a machine learning model to predict knee loading from inputs that could be extracted from 2D video and demonstrate the feasibility of prescribing personalized biomechanical interventions with a smartphone camera. Second, we evaluated the psychological construct of mindset in people with knee osteoarthritis and found that mindset relates to physical activity levels and the use of exercise for symptom management. Finally, we developed a platform to deploy a nationwide at-home biomechanics study that included an order of magnitude more participants than traditional laboratory studies. With this large dataset, we explored new relationships between biomechanical parameters and measures of health and wellbeing. Together, these studies contribute to a future where simple, scalable movement assessments are used to evaluate health and treat musculoskeletal diseases.
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 | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Boswell, Melissa Ann |
|---|---|
| Degree supervisor | Delp, Scott |
| Thesis advisor | Delp, Scott |
| Thesis advisor | Crum, Alia |
| Thesis advisor | Giori, Nicholas John |
| Degree committee member | Crum, Alia |
| Degree committee member | Giori, Nicholas John |
| Associated with | Stanford University, Department of Bioengineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Melissa Ann Boswell. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/dq025gh4230 |
Access conditions
- Copyright
- © 2022 by Melissa Ann Boswell
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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