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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Detalles Bibliográficos
Autores principales: Pettersson, Kati, Jagadeesan, Sharman, Lukander, Kristian, Henelius, Andreas, Hæggström, Edward, Müller, Kiti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3830504/
https://www.ncbi.nlm.nih.gov/pubmed/24160372
http://dx.doi.org/10.1186/1475-925X-12-110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3830504/
https://www.ncbi.nlm.nih.gov/pubmed/24160372
http://dx.doi.org/10.1186/1475-925X-12-110

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