DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals-Reference-Cited by-同舟云学术

DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals

Published:2023 Issue: Volume:11 Page:71840-71858
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Miltiadous Andreas¹^ORCID,Gionanidis Emmanouil²,Tzimourta Katerina D.¹^ORCID,Giannakeas Nikolaos¹^ORCID,Tzallas Alexandros T.¹^ORCID

Affiliation:

1. Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, Arta, Greece

2. Independent Researcher, Atlanta, GA, USA

Funder

Project “Immersive Virtual, Augmented and Mixed Reality Center of Epirus,” Which is Implemented under the Action “Reinforcement of the Research and Innovation Infrastructure”

Operational Program “Competitiveness, Entrepreneurship and Innovation,”

Greece and the European Union

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/ielx7/6287639/10005208/10179900.pdf?arnumber=10179900

Reference64 articles.

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4. Brain Imaging in Alzheimer Disease

5. Clinical correlates of quantitative EEG in Parkinson disease

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