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EEG Classification via Convolutional Neural Network-Based Interictal Epileptiform Event Detection
Diagnosis of epilepsy based on visual inspection of electroencephalogram (EEG) abnormalities is an inefficient, time-consuming, and expert-centered process. Moreover, the diagnosis based on ictal epileptiform events is challenging as the ictal patterns are infrequent. Consequently, the development o...
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| 出版年: | Conf Proc IEEE Eng Med Biol Soc |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6775768/ https://ncbi.nlm.nih.gov/pubmed/30441062 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2018.8512930 |
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