MULTIMODAL EEG WORLD MODEL: SELF-SUPERVISED LATENT TRANSITION LEARNING FOR WEARABLE EEG SEIZURE DETECTION

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BibTeX

@misc{yin2026multimodal,
  title = {{MULTIMODAL EEG WORLD MODEL: SELF-SUPERVISED LATENT TRANSITION LEARNING FOR WEARABLE EEG SEIZURE DETECTION}},
  author = {Z. Yin and Y. Bai and L. Zhou and H. Zhu and J. Moraros and G. Cheng and S. Wang},
  howpublished = {medRxiv},
  year = {2026},
  month = jul,
  doi = {10.64898/2026.07.20.26358450},
  url = {https://www.medrxiv.org/content/10.64898/2026.07.20.26358450v2},
}

RIS

TY  - UNPB
TI  - MULTIMODAL EEG WORLD MODEL: SELF-SUPERVISED LATENT TRANSITION LEARNING FOR WEARABLE EEG SEIZURE DETECTION
AU  - Z. Yin
AU  - Y. Bai
AU  - L. Zhou
AU  - H. Zhu
AU  - J. Moraros
AU  - G. Cheng
AU  - S. Wang
PY  - 2026
DA  - 2026/07/20
PB  - medRxiv
DO  - 10.64898/2026.07.20.26358450
UR  - https://www.medrxiv.org/content/10.64898/2026.07.20.26358450v2
ER  -

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