Neonatal Seizure Detection Using Combined aEEG and Compressed Spectral Array Features: A Machine-Learning Proof-of-Concept Study.

Edoigiawerie S, Henry J, Beaulieu-Jones B, David H, Issa NP

DOI: 10.64898/2026.07.02.26354953
Published: 2026 Jul 10
Container: medRxiv : the preprint server for health sciences
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.64898/2026.07.02.26354953,
  title = {Neonatal Seizure Detection Using Combined aEEG and Compressed Spectral Array Features: A Machine-Learning Proof-of-Concept Study.},
  author = {Edoigiawerie S and Henry J and Beaulieu-Jones B and David H and Issa NP},
  year = {2026},
  journal = {medRxiv : the preprint server for health sciences},
  doi = {10.64898/2026.07.02.26354953},
  url = {https://doi.org/10.64898/2026.07.02.26354953}
}

RIS

TY  - JOUR
TI  - Neonatal Seizure Detection Using Combined aEEG and Compressed Spectral Array Features: A Machine-Learning Proof-of-Concept Study.
AU  - Edoigiawerie S
AU  - Henry J
AU  - Beaulieu-Jones B
AU  - David H
AU  - Issa NP
PY  - 2026
JO  - medRxiv : the preprint server for health sciences
DO  - 10.64898/2026.07.02.26354953
UR  - https://doi.org/10.64898/2026.07.02.26354953
ER  -

APA

S, E., J, H., B, B., H, D., & NP, I. (2026). Neonatal Seizure Detection Using Combined aEEG and Compressed Spectral Array Features: A Machine-Learning Proof-of-Concept Study.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.07.02.26354953

Source records

pubmed · retrieved 2026-09-25T22:18:04.960Z