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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...
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| Publicado no: | Annu Int Conf IEEE Eng Med Biol Soc |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2022
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613668/ https://ncbi.nlm.nih.gov/pubmed/36085909 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC48229.2022.9871793 |
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