Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks

Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks

Abstract Background Freezing of gait (FOG) is a walking disturbance in advanced stage Parkinson’s disease (PD) that has been associated with increased fall risk and decreased quality of life. Freezing episodes can be mitigated or prevented with external intervention such as visual or auditory cues,...

Full description

Bibliographic Details
Main Authors: Gaurav Shalin, Scott Pardoel, Edward D. Lemaire, Julie Nantel, Jonathan Kofman
Format: Article
Language:English
Published: BMC 2021-11-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Freezing of gait
Parkinson’s disease
Plantar pressure
Long short-term memory
Deep learning
Detection
Online Access:https://doi.org/10.1186/s12984-021-00958-5

Internet

https://doi.org/10.1186/s12984-021-00958-5

Similar Items