Symplectic geometry decomposition-based features for automatic epileptic seizure detection.

Jiang Y, Chen W, Li M

DOI: 10.1016/j.compbiomed.2019.103549
Published: 2020 Jan
Container: Computers in biology and medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.compbiomed.2019.103549,
  title = {Symplectic geometry decomposition-based features for automatic epileptic seizure detection.},
  author = {Jiang Y and Chen W and Li M},
  year = {2020},
  journal = {Computers in biology and medicine},
  doi = {10.1016/j.compbiomed.2019.103549},
  url = {https://doi.org/10.1016/j.compbiomed.2019.103549}
}

RIS

TY  - JOUR
TI  - Symplectic geometry decomposition-based features for automatic epileptic seizure detection.
AU  - Jiang Y
AU  - Chen W
AU  - Li M
PY  - 2020
JO  - Computers in biology and medicine
DO  - 10.1016/j.compbiomed.2019.103549
UR  - https://doi.org/10.1016/j.compbiomed.2019.103549
ER  -

APA

Y, J., W, C., & M, L. (2020). Symplectic geometry decomposition-based features for automatic epileptic seizure detection.. Computers in biology and medicine. https://doi.org/10.1016/j.compbiomed.2019.103549

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pubmed · retrieved 2026-11-10T12:36:45.198Z