LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13246-024-01425-w.pdf
Reference51 articles.
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3. Breijyeh Z, Karaman R (2020) Comprehensive review on Alzheimers Disease: causes and treatment. Molecules. https://doi.org/10.3390/molecules25245789
4. Puri DV, Nalbalwar SL, Nandgaonkar AB, Gawande JP, Wagh A (2023) Automatic detection of Alzheimers disease from EEG signals using low-complexity orthogonal wavelet filter banks. Biomed Signal Process Control 81:104439. https://doi.org/10.1016/j.bspc.2022.104439
5. Modir A, Shamekhi S, Ghaderyan P (2023) A systematic review and method- ological analysis of EEG-based biomarkers of Alzheimer’s disease. Measurement 220:113274. https://doi.org/10.1016/j.measurement.2023.113274
Cited by 2 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. STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network;Cognitive Neurodynamics;2024-07-19
2. LEADNet: Detection of Alzheimer’s Disease Using Spatiotemporal EEG Analysis and Low-Complexity CNN;IEEE Access;2024
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