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Algorithm for automatic analysis of electro-oculographic data
BACKGROUND: Large amounts of electro-oculographic (EOG) data, recorded during electroencephalographic (EEG) measurements, go underutilized. We present an automatic, auto-calibrating algorithm that allows efficient analysis of such data sets. METHODS: The auto-calibration is based on automatic thresh...
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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2013
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3830504/ https://ncbi.nlm.nih.gov/pubmed/24160372 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1475-925X-12-110 |
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