A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts

Author

Kappel, Simon L. ; Looney, David ; Mandic, Danilo P. ; Kidmose, Preben

Author_Institution

Dept. of Eng., Aarhus Univ., Arhus, Denmark

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

1686

Lastpage

1690

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.

Keywords

biomedical electrodes; body sensor networks; electroencephalography; medical signal processing; optimisation; patient monitoring; signal denoising; artifact assessment method; artifact empirical study; artifact quantitative assessment; continuous brain monitoring; conventional systems; electrode location; electrode technology; electronic instrumentation; interference; optimization; system design; wearable EEG systems; Biomedical monitoring; Electrodes; Electroencephalography; Interference; Monitoring; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6943931

Filename

6943931