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

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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Bibliographic Details
Main Authors: Ivana Bardino Novosel, Anina Ritterband-Rosenbaum, Georgios Zampoukis, Jens Bo Nielsen, Jakob Lorentzen
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
cerebral palsy
movement behavior
wearable sensors
deep learning
monitoring
Online Access:https://www.mdpi.com/1424-8220/23/22/9045

Internet

https://www.mdpi.com/1424-8220/23/22/9045

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