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Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification
An automatic detection system for distinguishing normal, ictal, and interictal electroencephalogram (EEG) signals is of great help in clinical practice. This paper presents a three-class classification system based on discrete wavelet transform (DWT) and the nonlinear sparse extreme learning machine...
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| 出版年: | Comput Math Methods Med |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5494790/ https://ncbi.nlm.nih.gov/pubmed/28706561 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/6849360 |
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