Optimized deep learning models for stress-based stroke prediction from EEG signals

Sivasankaran Pichandi, Gomathy Balasubramanian, Venkatesh Chakrapani, J. Samuel Manoharan

Open source

DOI: 10.1007/s42452-025-07084-0
Published: 2025-05-23
Container: Discover Applied Sciences
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s42452-025-07084-0,
  title = {Optimized deep learning models for stress-based stroke prediction from EEG signals},
  author = {Sivasankaran Pichandi and Gomathy Balasubramanian and Venkatesh Chakrapani and J. Samuel Manoharan},
  year = {2025},
  journal = {Discover Applied Sciences},
  doi = {10.1007/s42452-025-07084-0},
  url = {https://doi.org/10.1007/s42452-025-07084-0}
}

RIS

TY  - JOUR
TI  - Optimized deep learning models for stress-based stroke prediction from EEG signals
AU  - Sivasankaran Pichandi
AU  - Gomathy Balasubramanian
AU  - Venkatesh Chakrapani
AU  - J. Samuel Manoharan
PY  - 2025
JO  - Discover Applied Sciences
DO  - 10.1007/s42452-025-07084-0
UR  - https://doi.org/10.1007/s42452-025-07084-0
ER  -

APA

Pichandi, S., Balasubramanian, G., Chakrapani, V., & Manoharan, J. S. (2025). Optimized deep learning models for stress-based stroke prediction from EEG signals. Discover Applied Sciences. https://doi.org/10.1007/s42452-025-07084-0

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crossref · retrieved 2026-09-25T13:10:32.893Z