Automated detection of epileptic EEG signals using recurrence plots-based feature extraction with transfer learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08386-4.pdf
Reference38 articles.
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3. Acharya UR (2018) Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. Compt Biol Med 100:270–278. https://doi.org/10.1016/j.compbiomed.2017.09.017
4. Andrzejak RG (2001) Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. Phys Rev E 64(6):061907. https://doi.org/10.1103/PhysRevE.64.061907
5. Aslan Z, Akin M (2022) A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals. Phys Eng Sci Med 45(1):83–96. https://doi.org/10.1007/s13246-021-01083-2
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