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Human and Automated Detection of High-Frequency Oscillations in Clinical Intracranial EEG Recordings
OBJECTIVE: Recent studies indicate that pathologic high-frequency oscillations (HFOs) are signatures of epileptogenic brain. Automated tools are required to characterize these events. We present a new algorithm tuned to detect HFOs from 30 – 85 Hz, and validate it against human expert electroencepha...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2007
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2020804/ https://ncbi.nlm.nih.gov/pubmed/17382583 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.clinph.2006.12.019 |
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