Literature DB >> 10080870

Investigating the contamination of electroencephalograms by facial muscle electromyographic activity using matching pursuit.

M Akay1, J A Daubenspeck.   

Abstract

It has been widely recognized and previously reported that electrical fields from facial muscle electromyographic (EMG) activity can contaminate the electroencephalogram (EEG), even when closely spaced, bipolar electrode configurations are used (personal observations). We suspected that EEG signals evoked in response to pressure changes in the upper airway may include EMG contamination subsequent to muscle reflexes triggered by the stimuli. We evaluated the potential contamination of the background EEG by voluntary activation of a facial muscle by obtaining simultaneous recordings in human subjects of the EEG (from Cz-C4) and masseter muscle EMG (from a bipolar surface electrode pair) before (quiet) and after voluntary tensing (VTen). Matching pursuit analysis permitted identification of different time-frequency patterns for each signal during the quiet period because the EMG signal has mostly atoms above 30 Hz compared to the EEG signal. However, the EEG showed periods of low-frequency activity unmatched in the EMG TF pattern below 30 Hz. During the tensing, most of the atoms of both the EEG and EMG shifted to the higher frequency regions above 100 Hz, making the separation difficult. These results further suggest that the matching pursuit method may not separate the background EEG from phasic EMG signals, both of which are nonstationary in nature. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10080870     DOI: 10.1006/brln.1998.2030

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  2 in total

1.  Analysis of the first heart sound using the matching pursuit method.

Authors:  W Wang; Z Guo; J Yang; Y Zhang; L G Durand; M Loew
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

2.  Interference of tonic muscle activity on the EEG: a single motor unit study.

Authors:  Gizem Yilmaz; Pekcan Ungan; Oğuz Sebik; Paulius Uginčius; Kemal S Türker
Journal:  Front Hum Neurosci       Date:  2014-07-11       Impact factor: 3.169

  2 in total

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