Document Detail


Suppression of deep brain stimulation artifacts from the electroencephalogram by frequency-domain Hampel filtering.
MedLine Citation:
PMID:  20362499     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: Currently, electroencephalography (EEG) cannot be used to record cortical activity during clinically effective DBS due to the presence of large stimulation artifact with components that overlap the useful spectrum of the EEG. A filtering method is presented that removes these artifacts whilst preserving the spectral and temporal fidelity of the underlying EEG.
METHODS: The filter is based on the Hampel identifier that treats artifacts as outliers in the frequency domain and replaces them with interpolated values. Performance of the filter was tested with a synthesized DBS signal and actual data recorded during bilateral monopolar DBS.
RESULTS: Mean increases in signal-to-noise ratio of 7.8dB for single-frequency stimulation and 13.8dB for dual-frequency stimulation are reported. Correlation analysis between EEG with synthesized artifacts and artifact-free EEG reveals that distortion to the underlying EEG in the filtered signal is negligible (r(2)>0.99).
CONCLUSIONS: Frequency-domain Hampel filtering has been shown to remove monopolar DBS artifacts under a number of common stimulation conditions used for the treatment of Parkinson's disease.
SIGNIFICANCE: Application of frequency-domain Hampel filtering will allow the measurement of EEG in patients during clinically effective DBS and thus may increase our understanding of the mechanisms of action of this important therapeutic intervention.
Authors:
David P Allen; Elizabeth L Stegemöller; Cindy Zadikoff; Joshua M Rosenow; Colum D Mackinnon
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2010-04-01
Journal Detail:
Title:  Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology     Volume:  121     ISSN:  1872-8952     ISO Abbreviation:  Clin Neurophysiol     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-15     Completed Date:  2010-07-30     Revised Date:  2011-08-03    
Medline Journal Info:
Nlm Unique ID:  100883319     Medline TA:  Clin Neurophysiol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1227-32     Citation Subset:  IM    
Copyright Information:
Copyright 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL IL 60611,, USA. dp_allen@ieee.org
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MeSH Terms
Descriptor/Qualifier:
Artifacts*
Brain / physiopathology*
Brain Mapping / methods
Deep Brain Stimulation / methods*
Electrodes, Implanted
Electroencephalography / methods*
Humans
Image Processing, Computer-Assisted
Parkinson Disease / physiopathology*,  therapy
Signal Processing, Computer-Assisted
Software
Grant Support
ID/Acronym/Agency:
R01-NS054199/NS/NINDS NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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