Automatic detection of Alzheimer’s disease from EEG signals using an improved AFS–GA hybrid algorithm-Reference-Cited by-同舟云学术

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Automatic detection of Alzheimer’s disease from EEG signals using an improved AFS–GA hybrid algorithm

Published:2024-06-10 Issue: Volume: Page:
ISSN:1871-4080
Container-title:Cognitive Neurodynamics
language:en
Short-container-title:Cogn Neurodyn

Author:

Wang Ruofan,He Qiguang,Shi Lianshuan,Che Yanqiu^ORCID,Xu Haojie,Song Changzhi

Funder

Natural Science Foundation of Tianjin Municipality

Tianjin Science and Popularization of Science and Research Development Project

Tianjin Municipal Education Commission Scientific Research Program

Unveiling and Commanding Project of Tianjin University of Technology and Education

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11571-024-10130-z.pdf

Reference69 articles.

1. Acharya UR, Fujita H, Sudarshan VK, Bhat S, Koh JE (2015) Application of entropies for automated diagnosis of epilepsy using eeg signals: A review. Knowl-Based Syst 88:85–96

2. Akbari H, Ghofrani S, Ghofrani S (2019) Fast and accurate classification f and nf eeg by using sodp and ewt. Int J Image Graph Signal Process 11(11):29–35

3. Akbari H, Sadiq MT, Payan M, Esmaili SS, Baghri H, Bagheri H (2021) Depression detection based on geometrical features extracted from sodp shape of eeg signals and binary pso. Traitement du Signal 38(1)

4. Akbari H, Sadiq MT, Payan M, Esmaili SS, Baghri H, Bagheri H (2021) Depression detection based on geometrical features extracted from sodp shape of eeg signals and binary pso. Traitement du Signal 38(1)

5. Alotaiby T, El-Samie FEA, Alshebeili SA, Ahmad I (2015) A review of channel selection algorithms for eeg signal processing. EURASIP J Adv Signal Process 2015:1–21

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine and Deep Learning Trends in EEG-Based Detection and Diagnosis of Alzheimer’s Disease: A Systematic Review;Eng;2024-07-16

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