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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Detalles Bibliográficos
Autores principales: Lee, Jong Taek, Park, Eunhee, Jung, Tae-Du
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623599/
https://www.ncbi.nlm.nih.gov/pubmed/34834432
http://dx.doi.org/10.3390/jpm11111080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623599/
https://www.ncbi.nlm.nih.gov/pubmed/34834432
http://dx.doi.org/10.3390/jpm11111080

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