N
N. Bailey
Publications - 7
Citations - 52
N. Bailey is an academic researcher. The author has contributed to research in topics: Electroencephalography & Medicine. The author has an hindex of 4, co-authored 7 publications receiving 52 citations.
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Introducing RELAX (the Reduction of Electroencephalographic Artifacts): A fully automated pre-processing pipeline for cleaning EEG data - Part 1: Algorithm and Application to Oscillations
N. Bailey,Mana Biabani,A. Hill,Aleksandra Miljevic,N. Rogasch,Brooke McQueen,O. Murphy,Pb. Fitzgerald +7 more
TL;DR: RelAX (the Reduction of Electroencephalographic Artifacts), an automated EEG cleaning pipeline implemented within EEGLAB that reduces all artifact types, is developed and recommended for data cleaning across EEG studies.
Posted ContentDOI
Introducing RELAX (the Reduction of Electroencephalographic Artifacts): A fully automated pre-processing pipeline for cleaning EEG data – Part 2: Application to Event-Related Potentials
N. Bailey,A. Hill,Mana Biabani,O. Murphy,N. Rogasch,Brooke McQueen,Aleksandra Miljevic,Pb. Fitzgerald +7 more
TL;DR: This companion article introduced RELAX (the Reduction of Electroencephalographic Artifacts), an automated and modular cleaning pipeline that reduces artifacts with Multiple Wiener Filtering and wavelet enhanced independent component analysis ( wICA) applied to artifact components detected with ICLabel (wICA_ICLabel) (Bailey et al., 2022).
Journal ArticleDOI
Introducing RELAX: An automated pre-processing pipeline for cleaning EEG data - Part 1: Algorithm and application to oscillations
N. Bailey,Mana Biabani,A. Hill,Aleksandra Miljevic,N. Rogasch,Brooke McQueen,O. Murphy,Pb. Fitzgerald +7 more
TL;DR: Relax as mentioned in this paper is a fully automated EEG cleaning pipeline that addresses all artifact types and improves measurement of EEG outcomes by using multi-channel Wiener filtering and wavelet enhanced independent component analysis (wICA_ICLabel).
Journal ArticleDOI
RELAX part 2: A fully automated EEG data cleaning algorithm that is applicable to Event-Related-Potentials
N. Bailey,A. Hill,Mana Biabani,O. Murphy,N. Rogasch,Brooke McQueen,Aleksandra Miljevic,Paul B. Fitzgerald +7 more
TL;DR: In this article , the RELAX (Reduction of Electroencephalographic Artifacts) pre-processing pipeline was used to clean EEG data for Event-Related Potentials (ERP) analysis.
Posted ContentDOI
Investigating resting state neurophysiological markers of apathy and processing speed in prodromal and early-stage manifest Huntington's disease
TL;DR: Results support the potential utility of quantitative EEG as a proximate marker for non-motor symptoms in HD and speculate that changes in oscillatory power and connectivity reflect ongoing, frontally concentrated degenerative and compensatory processes associated with HD.