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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...
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| Veröffentlicht in: | Comput Intell Neurosci |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7199628/ https://ncbi.nlm.nih.gov/pubmed/32405297 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/6925107 |
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