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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Bentham Open
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3772573/ https://www.ncbi.nlm.nih.gov/pubmed/24044024 http://dx.doi.org/10.2174/1874120720130701002 |