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Artificial neural network based characterization of the volume of tissue activated during deep brain stimulation
OBJECTIVE: Clinical deep brain stimulation (DBS) systems can be programmed with thousands of different stimulation parameter combinations (e.g. electrode contact(s), voltage, pulse width, frequency). Our goal was to develop novel computational tools to characterize the effects of stimulation paramet...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4115460/ https://ncbi.nlm.nih.gov/pubmed/24060691 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2560/10/5/056023 |
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