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CleanLine

eagle-i ID

http://shared.eagle-i.net/i/0000013a-4adb-8ad1-5291-c33f80000000

Resource Type

  1. Software

Properties

  1. Resource Description
    Sinusoidal noise can be a prominent artifact in recorded electrophysiological data. This can stem from AC power line fluctuations e.g. 5060 Hz line noise harmonics power suppliers e.g. in medical equipment fluorescent lights etc. Notch filtering is generally undesirable due to creation of band-holes and significant distortion of frequencies around the notch frequency as well as phase distortion at other frequencies and Gibbs rippling in the time-domain. CleanLine is an EEGLAB plugin which adaptively estimates and removes sinusoidal artifacts from ICA components or scalp channels using a frequency-domain multi-taper regression technique with a Thompson F-statistic for identifying significant sinusoidal artifacts. This approach has been advocated by Partha Mitra and Hemant Bokil Observed Brain Dynamics Chapter 7.3.4. 2007 and CleanLine utilizes modified routines from the Mitra Labs Chronux Toolbox www.chronux.org. Keywords: Spectral Analysis, GNU General Public License GPL, Uncategorized Domain
  2. Contact
    Mullen, Tim
  3. Used by
    Neuroimaging Informatics Tools and Resources Clearinghouse
  4. Website(s)
    http://www.nitrc.org/projects/cleanline/
  5. Related Technique
    Electrophysiology assay
 
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Provenance Metadata About This Resource Record

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016