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 models a...

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Detalhes bibliográficos

Principais autores:	Hossein Tabatabaei Seyed Amir, Pedrosa David, Eggers Carsten, Wullstein Max, Kleinholdermann Urs, Fischer Patrick, Sohrabi Keywan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	De Gruyter 2020-09-01
coleção:	Current Directions in Biomedical Engineering
Assuntos:	parkinson’s disease supervised learning convolutional neural network classification accuracy
Acesso em linha:	https://doi.org/10.1515/cdbme-2020-3097
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