Machine Learning Techniques for Parkinson’s Disease Detection using Wearables during a Timed-up-and-Go-Test

Machine Learning Techniques for Parkinson’s Disease Detection using Wearables during a Timed-up-and-Go-Test

In this paper, the classification models for Idiopathic Parkinson's syndrome (iPS) detection through timed-up-and-go test performed on iPS-patients are given. The models are based on the supervised learning. The data are extracted via Myo gesture armband worn on two hands. The corresponding mod...

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Autores principales: Hossein Tabatabaei Seyed Amir, Pedrosa David, Eggers Carsten, Wullstein Max, Kleinholdermann Urs, Fischer Patrick, Sohrabi Keywan
Formato: article
Lenguaje:EN
Publicado: De Gruyter 2020
Materias:
parkinson’s disease
supervised learning
convolutional neural network
classification
accuracy
Medicine
R
Acceso en línea:https://doaj.org/article/ee3ed0d612dc4f4894c6e4ec4ab07546
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https://doaj.org/article/ee3ed0d612dc4f4894c6e4ec4ab07546

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