A hybrid EEG classification model using layered cascade deep learning architecture-Reference-Cited by-同舟云学术

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A hybrid EEG classification model using layered cascade deep learning architecture

Published:2024-03-20 Issue:7 Volume:62 Page:2213-2229
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Liu Chang,Chen Wanzhong,Li Mingyang

Funder

National Natural Science Foundation of China

Science and Technology Project of Education Department in Jilin Province

Natural Science Foundation of Chongqing

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11517-024-03072-5.pdf

Reference59 articles.

1. Ma J, Wang Y, Liu B et al (2021) Accurately modeling the human brain functional correlations with hypergraph Laplacian. Neurocomputing 428:239–247

2. Shayeste H, Asl BM (2023) Automatic seizure detection based on gray level co-occurrence matrix of STFT imaged-EEG. Biomed Signal Process Control 79:104109

3. Wang JL, Ge XT, Shi YF et al (2023) Dual-modal information bottleneck network for seizure detection. Int J Neural Syst 33(1)

4. https://www.who.int/en/news-room/fact-sheets/detail/epilepsy (Accessed Aug 2022)

5. Gupta V, Kanungo A, Saxena N et al (2023) An adaptive optimized schizophrenia electroencephalogram disease prediction framework. Wirel Personal Commun Int J 130(2):1191–1213

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