Deep neural networks for wearable sensor-based activity recognition in Parkinson’s disease: investigating generalizability and model complexity

Deep neural networks for wearable sensor-based activity recognition in Parkinson’s disease: investigating generalizability and model complexity

Abstract Background The research gap addressed in this study is the applicability of deep neural network (NN) models on wearable sensor data to recognize different activities performed by patients with Parkinson’s Disease (PwPD) and the generalizability of these models to PwPD using labeled healthy...

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Bibliografische gegevens
Hoofdauteurs: Shelly Davidashvilly, Maria Cardei, Murtadha Hssayeni, Christopher Chi, Behnaz Ghoraani
Formaat: Artikel
Taal:English
Gepubliceerd in: BMC 2024-02-01
Reeks:BioMedical Engineering OnLine
Onderwerpen:
Wearable sensors
Human activity recognition
Parkinson’s disease
Deep neural networks
Generalizability
Data augmentation
Online toegang:https://doi.org/10.1186/s12938-024-01214-2

Internet

https://doi.org/10.1186/s12938-024-01214-2

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