Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy – a case study in epilepsy

This work explores the potential utility of neural network classifiers for real-time classification of field-potential based biomarkers in next-generation responsive neuromodulation systems. Compared to classical filter-based classifiers, neural networks offer an ease of patient-specific parameter t...

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Detalles Bibliográficos
Autores principales: Kavoosi, Ali, Toth, Robert, Benjaber, Moaad, Zamora, Mayela, Valentín, Antonio, Sharott, Andrew, Denison, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613668/
https://www.ncbi.nlm.nih.gov/pubmed/36085909
http://dx.doi.org/10.1109/EMBC48229.2022.9871793

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613668/
https://www.ncbi.nlm.nih.gov/pubmed/36085909
http://dx.doi.org/10.1109/EMBC48229.2022.9871793

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