Abstract
Parkinson Disease (PD) primarily affects older adults. It is the second-most common neurodegenerative disease after Alzheimer’s disease. Currently, more than 10 million people suffer from PD, and this number is expected to grow, considering the increasing global longevity. Freezing of Gait (FoG) is a symptom present in approximately 80% of advanced-stage PD’s patients. FoG episodes alter the continuity of gait, and may be the cause of falls that can lead to injuries and even death. The recent advances in the development of hardware and software systems for the monitoring, stimulus, or rehabilitation of patients with FoG has been of great interest to researchers because detection and minimization of the duration of FoG events is an important factor in improving the quality of life. This article presents a review of the research on non-invasive medical devices for FoG, focusing on the acquisition, processing, and stimulation approaches used.
Original language | English |
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Article number | 976 |
Journal | Healthcare (Switzerland) |
Volume | 10 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2022 |
Bibliographical note
Funding Information:Funding: The authors would like to express their gratitude to the Ibero-American Program of Science and Technology for Development, project code 320RT0006.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- freezing of gait
- gait recognition
- non-invasive devices
- Parkinson Disease
- smart device
- stimulation