On Extracting Digitized Spiral Dynamics’ Representations: A Study on Transfer Learning for Early Alzheimer’s Detection

This work proposes a decision-aid tool for detecting Alzheimer’s disease (AD) at an early stage, based on the Archimedes spiral, executed on a Wacom digitizer. Our work assesses the potential of the task as a dynamic gesture and defines the most pertinent methodology for exploiting transfer learning...

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Detalles Bibliográficos
Autores principales: Carfora, Daniela, Kim, Suyeon, Houmani, Nesma, Garcia-Salicetti, Sonia, Rigaud, Anne-Sophie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404815/
https://www.ncbi.nlm.nih.gov/pubmed/36004900
http://dx.doi.org/10.3390/bioengineering9080375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404815/
https://www.ncbi.nlm.nih.gov/pubmed/36004900
http://dx.doi.org/10.3390/bioengineering9080375

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