Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data

The goal of this study was to develop a framework to classify dependence in ambulation by employing a deep model in a 3D convolutional neural network (3D-CNN) using video data recorded by a smartphone during inpatient rehabilitation therapy in stroke patients. Among 2311 video clips, 1218 walk actio...

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Autores principales: Jong Taek Lee, Eunhee Park, Tae-Du Jung
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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R
Acceso en línea:https://doaj.org/article/47618b5aad364084a4feec85ccb1f94c
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