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An optimum allocation sampling based feature extraction scheme for distinguishing seizure and seizure-free EEG signals
Epileptic seizure is the common neurological disorder, which is generally identified by electroencephalogram (EEG) signals. In this paper, a new feature extraction methodology based on optimum allocation sampling (OAS) and Teager energy operator (TEO) is proposed for detection of seizure EEG signals...
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| Publicado no: | Health Inf Sci Syst |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5660011/ https://ncbi.nlm.nih.gov/pubmed/29109857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13755-017-0028-7 |
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