Accurate Monitoring of 24-h Real-World Movement Behavior in People with Cerebral Palsy Is Possible Using Multiple Wearable Sensors and Deep Learning

Monitoring and quantifying movement behavior is crucial for improving the health of individuals with cerebral palsy (CP). We have modeled and trained an image-based Convolutional Neural Network (CNN) to recognize specific movement classifiers relevant to individuals with CP. This study evaluates CNN...

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Detalles Bibliográficos
Autores principales: Novosel, Ivana Bardino, Ritterband-Rosenbaum, Anina, Zampoukis, Georgios, Nielsen, Jens Bo, Lorentzen, Jakob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675169/
https://www.ncbi.nlm.nih.gov/pubmed/38005433
http://dx.doi.org/10.3390/s23229045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675169/
https://www.ncbi.nlm.nih.gov/pubmed/38005433
http://dx.doi.org/10.3390/s23229045

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