Abstract
This report summarizes the existing literature on the use of technology for the assessment of freezing of gait (FOG) as well as the use of technology to provide insights into the mechanisms of FOG in people with Parkinson's disease. Specifically, this work was carried out for the 3rd International Workshop on Freezing of Gait in Jerusalem in 2023. This review focuses on the most used technologies to quantitatively assess FOG in a laboratory environment and describes the technologies that hold promise for assessing FOG in daily life. Examples of implementation of machine learning algorithms are provided as well as algorithmic biases. Lastly, a standardized assessment using inertial measurement units during a clinical protocol is proposed and a 5-year outlook is discussed. We anticipate this review will help move the field forward in the coming years.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 19-40 |
| Number of pages | 22 |
| Journal | Journal of Parkinson's Disease |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Keywords
- Parkinson's disease
- accelerometer
- freezing
- gait
- inertial measurement unit
- machine learning
- review
- technology
PubMed: MeSH publication types
- Journal Article
- Review
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