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Classification Models of Action Research Arm Test Activities in Post-Stroke Patients Based on Human Hand Motion

The Action Research Arm Test (ARAT) presents a ceiling effect that prevents the detection of improvements produced with rehabilitation treatments in stroke patients with mild finger joint impairments. The aim of this study was to develop classification models to predict whether activities with simil...

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Principais autores: Jesus Fernando Padilla-Magaña, Esteban Peña-Pitarch
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-11-01
coleção:Sensors
Assuntos:
machine learning
hand motion
stroke
classification
borderline-SMOTE
finger joints
Acesso em linha:https://www.mdpi.com/1424-8220/22/23/9078
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