Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test

Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test

Freezing of gait (FOG) is a debilitating motor phenomenon that is common among individuals with advanced Parkinson’s disease. Objective and sensitive measures are needed to better quantify FOG. The present work addresses this need by leveraging wearable devices and machine-learning methods to develo...

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Bibliographic Details
Main Authors: Tal Reches, Moria Dagan, Talia Herman, Eran Gazit, Natalia A. Gouskova, Nir Giladi, Brad Manor, Jeffrey M. Hausdorff
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
Parkinson’s disease
wearables
machine learning
freezing of gait
accelerometer
gyroscope
Online Access:https://www.mdpi.com/1424-8220/20/16/4474

Internet

https://www.mdpi.com/1424-8220/20/16/4474

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