Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson’s Disease Using Electromyography and Inertial Signals

Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson’s Disease Using Electromyography and Inertial Signals

We propose a wearable sensor system for automatic, continuous and ubiquitous analysis of Freezing of Gait (FOG), in patients affected by Parkinson’s disease. FOG is an unpredictable gait disorder with different clinical manifestations, as the trembling and the shuffling-like phenotypes, wh...

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Bibliographic Details
Main Authors: Ivan Mazzetta, Alessandro Zampogna, Antonio Suppa, Alessandro Gumiero, Marco Pessione, Fernanda Irrera
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
wearable sensors
sensor fusion
inertial signal
surface electromyography
gait analysis
Parkinson’s disease
telemedicine
Online Access:https://www.mdpi.com/1424-8220/19/4/948

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