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An automated, machine learning–based detection algorithm for spike‐wave discharges (SWDs) in a mouse model of absence epilepsy
OBJECTIVE: Manual detection of spike‐wave discharges (SWDs) from electroencephalography (EEG) records is time intensive, costly, and subject to inconsistencies/biases. In addition, manual scoring often omits information on SWD confidence/intensity, which may be important for the investigation of mec...
Gorde:
| Argitaratua izan da: | Epilepsia Open |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
John Wiley and Sons Inc.
2019
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6398153/ https://ncbi.nlm.nih.gov/pubmed/30868121 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/epi4.12303 |
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