Type

Journal Article

Authors

Hugh Nolan
Richard Reilly
R Whelan

Subjects

Psychiatry

Topics
neuroscience electroencephalography quantitative eeg analysis eeg analysis muscles female artifacts independent component analysis eeg signal processing computer assisted event related potentials p300 computer simulation male next generation medical devices brain sensitivity and specificity instrumentation adult eye movements humans physiology

FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection (2010)

Abstract Electroencephalogram (EEG) data are typically contaminated with artifacts (e.g., by eye movements). The effect of artifacts can be attenuated by deleting data with amplitudes over a certain value, for example. Independent component analysis (ICA) separates EEG data into neural activity and artifact; once identified, artifactual components can be deleted from the data. Often, artifact rejection algorithms require supervision (e.g., training using canonical artifacts). Many artifact rejection methods are time consuming when applied to high density EEG data. We describe FASTER (Fully Automated Statistical Thresholding for EEG artifact Rejection). Parameters were estimated for various aspects of data (e.g., channel variance) in both the EEG time-series and in the independent components of the EEG: outliers were detected and removed. FASTER was tested on both simulated EEG (n=47) and real EEG (n=47) data on 128-, 64-, and 32-scalp electrode arrays. Faster was compared to supervised artifact detection by experts and to a variant of the Statistical Control for Dense Arrays of Sensors (SCADS) method. FASTER had > 90% sensitivity and specificity for detection of contaminated channels, eye movement and EMG artifacts, linear trends and white noise. FASTER generally had > 60% sensitivity and specificity for detection of contaminated epochs, vs. 0.15% for SCADS. The variance in the ERP baseline, a measure of noise, was significantly lower for FASTER than either the supervised or SCADS methods. ERP amplitude did not differ significantly between FASTER and the supervised approach.
Collections Ireland -> Trinity College Dublin -> Administrative Staff Authors (Scholarly Publications)
Ireland -> Trinity College Dublin -> Administrative Staff Authors

Full list of authors on original publication

Hugh Nolan, Richard Reilly, R Whelan

Experts in our system

1
Hugh Nolan
Trinity College Dublin
Total Publications: 17
 
2
Richard Reilly
Trinity College Dublin
Total Publications: 183
 
3
Robert Whelan
Trinity College Dublin
Total Publications: 58