Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors

Infant motility assessment using intelligent wearables is a promising new approach for assessment of infant neurophysiological development, and where efficient signal analysis plays a central role. This study investigates the use of different end-to-end neural network architectures for processing in...

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Detalles Bibliográficos
Autores principales: Airaksinen, Manu, Vanhatalo, Sampsa, Räsänen, Okko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098558/
https://www.ncbi.nlm.nih.gov/pubmed/37050833
http://dx.doi.org/10.3390/s23073773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098558/
https://www.ncbi.nlm.nih.gov/pubmed/37050833
http://dx.doi.org/10.3390/s23073773

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