Hybrid EEG—Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal

Contamination of eye movement and blink artifacts in Electroencephalogram (EEG) recording makes the analysis of EEG data more difficult and could result in mislead findings. Efficient removal of these artifacts from EEG data is an essential step in improving classification accuracy to develop the br...

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Detalles Bibliográficos
Autores principales: Mannan, Malik M. Naeem, Kim, Shinjung, Jeong, Myung Yung, Kamran, M. Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801617/
https://www.ncbi.nlm.nih.gov/pubmed/26907276
http://dx.doi.org/10.3390/s16020241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801617/
https://www.ncbi.nlm.nih.gov/pubmed/26907276
http://dx.doi.org/10.3390/s16020241

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