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Comparison of the AMICA and the InfoMax algorithm for the reduction of electromyogenic artifacts in EEG data
2013
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Electromyogenic or muscle artifacts constitute a major problem in studies involving electroencephalography (EEG) measurements. This is because the rather low signal activity of the brain is overlaid by comparably high signal activity of muscles, especially neck muscles. Hence, recording an artifact-free EEG signal during movement or physical exercise is not, to the best knowledge of the authors, feasible at the moment. Nevertheless, EEG measurements are used in a variety of different fields
doi:10.1109/embc.2013.6611119
pmid:24111306
dblp:conf/embc/LeutheuserGHRLE13
fatcat:fxjax7lkgre3pkaucorqtppfyu