Open-source tools for measuring, understanding, and improving walking
Abstract/Contents
- Abstract
- Walking is a complex phenomenon that requires coordination between the brain and body. Neurological disorders like Parkinson's disease affect brain regions important for motor coordination and this results in impaired walking and severe episodes of "freezing of gait" that interrupt and halt an individual's motion. Currently, therapies for people with gait impairment and freezing in Parkinson's disease are limited, due to the little understanding of the underlying neural or biomechanical mechanisms associated with impaired gait, and the lack of standardized, patient-friendly, objective tools with which to assess impaired gait in the clinic or in natural settings over long periods of time. This dissertation describes tools to measure, understand, and improve human gait. First, we developed and validated a standardized walking task and statistical model with which to assess gait, and then used this to test the efficacy of different neurostimulation therapies for Parkinson's disease. Second, we developed and tested deep learning models to detect gait impairment using wearable inertial sensors, of which the number and placement consider both patient preferences and model performance. Third, we developed and validated a workflow to reliably measure human motion over long durations with wearable inertial sensors.
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 | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | O'Day, Johanna Jianping |
|---|---|
| Degree supervisor | Delp, Scott |
| Thesis advisor | Delp, Scott |
| Thesis advisor | Bronte-Stewart, Helen |
| Thesis advisor | Camarillo, David |
| Thesis advisor | Nuyujukian, Paul Herag |
| Degree committee member | Bronte-Stewart, Helen |
| Degree committee member | Camarillo, David |
| Degree committee member | Nuyujukian, Paul Herag |
| Associated with | Stanford University, Department of Bioengineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Johanna Jianping O'Day. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/mg944wk8106 |
Access conditions
- Copyright
- © 2021 by Johanna Jianping O'Day
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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