Classification System for Predicting Emergent Epilepsy Phenotype in the Intra-Amygdala Kainic Acid Mouse Model of Epilepsy
We have implemented this approach as a web server, which can potentially reduce the time and resources spent analysing the EEGs of mice who develop low-frequency or high-frequency seizure rates.
Authors
- David C. Henshall (ORCID: https://orcid.org/0000-0001-6237-9632)
- Lan Wei (ORCID: https://orcid.org/0000-0002-7236-3965)
- Omar Mamad (ORCID: https://orcid.org/0000-0002-4517-3381)
- Catherine Mooney (ORCID: https://orcid.org/0000-0002-7696-1364)
- Mercy Edoho (ORCID: https://orcid.org/0009-0001-9537-5344)
Institutions
- University College Dublin (IE)
- Dublin City University (IE)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1109/tbme.2024.3481897
- Citations
- 2
- Primary Topic
- Neuroscience and Neuropharmacology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.54