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Anomaly Detection in EEG Signals: A Case Study on Similarity Measure
Motivation. Anomaly EEG detection is a long-standing problem in analysis of EEG signals. The basic premise of this problem is consideration of the similarity between two nonstationary EEG recordings. A well-established scheme is based on sequence matching, typically including three steps: feature ex...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199628/ https://www.ncbi.nlm.nih.gov/pubmed/32405297 http://dx.doi.org/10.1155/2020/6925107 |