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Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning
OBJECTIVE: Develop a high-performing algorithm to detect mesial temporal lobe (mTL) epileptiform discharges on intracranial electrode recordings. METHODS: An epileptologist annotated 13,959 epileptiform discharges from a dataset of intracranial EEG recordings from 46 epilepsy patients. Using this da...
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| izdano v: | Clin Neurophysiol |
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| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2019
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6879011/ https://ncbi.nlm.nih.gov/pubmed/31760212 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.clinph.2019.09.031 |
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