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A signal regularity-based automated seizure prediction algorithm using long-term scalp EEG recordings
The purpose of this study was to evaluate a signal regularity-based automated seizure prediction algorithm for scalp EEG. Signal regularity was quantified using the Pattern Match Regularity Statistic (PMRS), a statistical measure. The primary feature of the prediction algorithm is the degree of conv...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Інститут кібернетики ім. В.М. Глушкова НАН України
2011
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| Series: | Кибернетика и системный анализ |
| Subjects: | |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/84219 |
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