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...
| Päätekijät: | , , , , , , |
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| Aineistotyyppi: | Conference item |
| Kieli: | English |
| Julkaistu: |
IEEE
2022
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