Detection of Alzheimer Disease on Online Handwriting Using 1D Convolutional Neural Network
Author:
Affiliation:
1. Samovar/Télécom SudParis, Institut Polytechnique de Paris, Palaiseau, France
2. AP-HP, Groupe Hospitalier Cochin Paris Centre, Hôpital Broca, Pôle Gérontologie, Paris, France
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/09999448.pdf?arnumber=9999448
Reference35 articles.
1. Handwriting Process Variables Discriminating Mild Alzheimer's Disease and Mild Cognitive Impairment
2. ImageNet: A large-scale hierarchical image database
3. Handwriting changes can indicate Alzheimer’s progression;firger,2013
4. Improving neural networks by preventing co-adaptation of feature detectors;hinton;arXiv 1207 0580,2012
5. Kinematic Analysis of Handwriting Movements in Patients with Alzheimer’s Disease, Mild Cognitive Impairment, Depression and Healthy Subjects
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