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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Auteurs principaux:	Daniela Carfora, Suyeon Kim, Nesma Houmani, Sonia Garcia-Salicetti, Anne-Sophie Rigaud
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-08-01
Collection:	Bioengineering
Sujets:	online spiral analysis automatic feature extraction transfer learning Alzheimer’s disease classification
Accès en ligne:	https://www.mdpi.com/2306-5354/9/8/375
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