title: A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts.
abstract: Wearable EEG systems for continuous brain monitoring is an emergent technology that involves significant technical challenges. Some of these are related to the fact that these systems operate in conditions that are far less controllable with respect to interference and artifacts than is the case for conventional systems. Quantitative assessment of artifacts provides a mean for optimization with respect to electrode technology, electrode location, electronic instrumentation and system design. To this end, we propose an artifact assessment method and evaluate it over an empirical study of 3 subjects and 5 different types of artifacts. The study showed consistent results across subjects and artifacts.
authors.forename: Simon L
authors.initials: SL
authors.lastname: Kappel
authors.forename: David
authors.initials: D
authors.lastname: Looney
authors.forename: Danilo P
authors.initials: DP
authors.lastname: Mandic
authors.forename: Preben
authors.initials: P
authors.lastname: Kidmose
mesh_terms: D000328:Adult; D016477:Artifacts; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology; D005133:Eye Movements / Q000502:physiology; D005260:Female; D006257:Head / Q000502:physiology; D006801:Humans; D007568:Jaw / Q000502:physiology; D008297:Male; D009422:Nervous System Diseases / Q000503:physiopathology; D059629:Signal-To-Noise Ratio