Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review.

Tan S, Tang Z, He Q, Li Y, Cai Y, Zhang J, Fan D, Guo Z

Open source

DOI: 10.3389/fnins.2025.1630664
Published: 2025
Container: Frontiers in neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2025.1630664,
  title = {Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review.},
  author = {Tan S and Tang Z and He Q and Li Y and Cai Y and Zhang J and Fan D and Guo Z},
  year = {2025},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2025.1630664},
  url = {https://doi.org/10.3389/fnins.2025.1630664}
}

RIS

TY  - JOUR
TI  - Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review.
AU  - Tan S
AU  - Tang Z
AU  - He Q
AU  - Li Y
AU  - Cai Y
AU  - Zhang J
AU  - Fan D
AU  - Guo Z
PY  - 2025
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2025.1630664
UR  - https://doi.org/10.3389/fnins.2025.1630664
ER  -

APA

S, T., Z, T., Q, H., Y, L., Y, C., J, Z., D, F., & Z, G. (2025). Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2025.1630664

Source records

pubmed · retrieved 2026-09-25T20:03:53.293Z
europe-pmc · retrieved 2026-09-25T20:03:53.320Z
doaj · retrieved 2026-09-25T20:03:53.325Z