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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| 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 |