Detection and classification of subject-generated artifacts in EEG signals using autoregressive models
We examine the problem of accurate detection and classification of artifacts in continuous EEG recordings. Manual identification of artifacts, by means of an expert or panel of experts, can be tedious, time-consuming and infeasible for large datasets. We use autoregressive (AR) models for feature ex...
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Glavni autori: | , , , , |
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Format: | Artigo |
Jezik: | engleski |
Izdano: |
2012
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Online pristup: | https://doi.org/10.1016/j.jneumeth.2012.05.017 |
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