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A Predictive Model of Anesthesia Depth Based on SVM in the Primary Visual Cortex
In this paper, a novel model for predicting anesthesia depth is put forward based on local field potentials (LFPs) in the primary visual cortex (V1 area) of rats. The model is constructed using a Support Vector Machine (SVM) to realize anesthesia depth online prediction and classification. The raw L...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Bentham Open
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3772573/ https://ncbi.nlm.nih.gov/pubmed/24044024 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2174/1874120720130701002 |
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