dc.contributor.author | Valderrama, J | |
dc.contributor.author | de la Torre, A | |
dc.contributor.author | Van Dun, Bram | |
dc.contributor.author | Dillon, Harvey | |
dc.date.accessioned | 2017-05-03T01:26:23Z | |
dc.date.available | 2017-05-03T01:26:23Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Journal of Neural Engineering | en_US |
dc.identifier.uri | http://dspace.nal.gov.au/xmlui/handle/123456789/664 | |
dc.description.abstract | Artifact reduction in electroencephalogram (EEG) signals is usually
necessary to carry out data analysis appropriately. Despite the large amount of
denoising techniques available with a multichannel setup, there is a lack of e cient
algorithms that remove (not only detect) blink-artifacts from a single channel EEG,
which is of interest in many clinical and research applications. This paper describes
and evaluates the Iterative Template Matching and Suppression (ITMS), a new method
proposed for detecting and suppressing the artifact associated with the blink activity
from a single channel EEG. The approach of ITMS consists of (a) an iterative process in
which blink-events are detected and the blink-artifact waveform of the analyzed subject
is estimated, (b) generation of a signal modeling the blink-artifact, and (c) suppression
of this signal from the raw EEG. The performance of ITMS is compared with the Multiwindow
Summation of Derivatives within a Window (MSDW) technique using both
synthesized and real EEG data. Results suggest that ITMS presents an adequate
performance in detecting and suppressing blink-artifacts from a single channel EEG.
When applied to the analysis of Cortical Auditory Evoked Potentials (CAEPs), ITMS
provides a signi cant quality improvement in the resulting responses. The proposed
ITMS algorithm is easy to be implemented, as can be observed in the Matlab script
provided as supporting material. | en_US |
dc.language.iso | en | en_US |
dc.subject | artifact removal, single channel EEG, quality enhancement, blinking, braincomputer interface (BCI) games | en_US |
dc.title | An automatic algorithm for blink-artifact suppression based on iterative template matching: Application to single channel recording of cortical auditory evoked potentials | en_US |
dc.type | Article | en_US |