Measurement of Automated EEG Artifact Removal Performance Using Evoked Potentials Save

Date Added
April 16th, 2013
PRO Number
Pro00023968
Researcher
Jonathan Halford
Keywords
Epilepsy
Summary

EEG is the most common neurophysiology procedure. Unfortunately, EEG is plagued with the problem of artifacts. Artifacts are contaminant signals which come from other sources than the brain. These other sources are electrical potentials from eye movement, electromyogram (EMG) signals from muscles of the scalp, 60 Hz noise from the electrical power system, signals caused by patient movement, and noise from problems with individual EEG electrodes. The purpose of this study is to create EEG recordings from normal subjects that can be used to measure how well automatic EEG artifact removal software works. EEG recordings will be made from subjects during two states: (1) while subjects are at rest and (2) while subjects are being given somatosensory, visual, and auditory stimuli. The stimuli that will be used will be standard clinical somatosensory evoked potential stimuli using electrical shocks to the left wrist, flashing lights for a visual stimulus, and audio click sounds throughout headphones for the auditory stimuli. The averaged evoked potentials will be studied before and after automatic EEG artifact removal software is applied and comparied between the resting state and the stimulated state.

Institution
MUSC
Recruitment Contact
Kimberly Schnabel
843-792-3855
schnabel@musc.edu

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