Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach

Classification of Parkinson’s disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach

Abstract Background Parkinson’s disease (PD) and essential tremor (ET) are movement disorders that can have similar clinical characteristics including tremor and gait difficulty. These disorders can be misdiagnosed leading to delay in appropriate treatment. The aim of the study was to determine whet...

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Bibliographic Details
Main Authors: Sanghee Moon, Hyun-Je Song, Vibhash D. Sharma, Kelly E. Lyons, Rajesh Pahwa, Abiodun E. Akinwuntan, Hannes Devos
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Parkinson’s disease
Essential tremor
Balance
Gait
Inertial motion unit
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12984-020-00756-5

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http://link.springer.com/article/10.1186/s12984-020-00756-5

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