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

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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Bibliographic Details
Main Authors: Jesus Fernando Padilla-Magaña, Esteban Peña-Pitarch
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
machine learning
hand motion
stroke
classification
borderline-SMOTE
finger joints
Online Access:https://www.mdpi.com/1424-8220/22/23/9078

Internet

https://www.mdpi.com/1424-8220/22/23/9078

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