Measuring Gait Quality in Parkinson’s Disease through Real-Time Gait Phase Recognition

Measuring Gait Quality in Parkinson’s Disease through Real-Time Gait Phase Recognition

Monitoring gait quality in daily activities through wearable sensors has the potential to improve medical assessment in Parkinson’s Disease (PD). In this study, four gait partitioning methods, two based on thresholds and two based on a machine learning approach, considering the four-phase model, wer...

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Bibliographic Details
Main Authors: Ilaria Mileti, Marco Germanotta, Enrica Di Sipio, Isabella Imbimbo, Alessandra Pacilli, Carmen Erra, Martina Petracca, Stefano Rossi, Zaccaria Del Prete, Anna Rita Bentivoglio, Luca Padua, Eduardo Palermo
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
gait quality
gait phases recognition
machine learning
Parkinson’s disease
motor fluctuations
wearable sensor system
Online Access:http://www.mdpi.com/1424-8220/18/3/919

Internet

http://www.mdpi.com/1424-8220/18/3/919

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