Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets

Stroke survivors often suffer from movement impairments that significantly affect their daily activities. The advancements in sensor technology and IoT have provided opportunities to automate the assessment and rehabilitation process for stroke survivors. This paper aims to provide a smart post-stro...

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Detalles Bibliográficos
Autores principales: Razfar, Najmeh, Kashef, Rasha, Mohammadi, Farah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302735/
https://www.ncbi.nlm.nih.gov/pubmed/37420682
http://dx.doi.org/10.3390/s23125513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302735/
https://www.ncbi.nlm.nih.gov/pubmed/37420682
http://dx.doi.org/10.3390/s23125513

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