Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?

Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?

Objective: Gait may be a useful biomarker that can be objectively measured with wearable technology to classify Parkinson's disease (PD). This study aims to: (i) comprehensively quantify a battery of commonly utilized gait digital characteristics (spatiotemporal and signal-based), and (ii) iden...

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Bibliographic Details
Main Authors: Rana Zia Ur Rehman, Christopher Buckley, Maria Encarna Mico-Amigo, Cameron Kirk, Michael Dunne-Willows, Claudia Mazza, Jian Qing Shi, Lisa Alcock, Lynn Rochester, Silvia Del Din
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Classification
Machine Learning
Digital Gait
Parkinson's disease
Partial least square-discriminant analysis (PLS-DA)
Online Access:https://ieeexplore.ieee.org/document/8964569/

Internet

https://ieeexplore.ieee.org/document/8964569/

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