A Comparison of EEG Alpha Rhythm Detection by Tripolar Concentric Ring Electrodes and Conventional Disk Electro des

Chase Haddix, Amir F. Al-Bakri, Walter Besio, Sridhar Sunderam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

A recently developed tripolar concentric ring electrode enables accurate estimation of the local Laplacian of the electroencephalogram (EEG). Here, we tested the ability of this tripolar EEG (tEEG) system to detect the extent to which the alpha rhythm-an 8-13 Hz oscillation found in the EEG when the subject is at rest with the eyes closed-is modulated by opening the eyes, and compared it with simultaneous conventional EEG measurements. In a preliminary study comprising ten independent sessions on seven subjects, opening the eyes reduced alpha power by an average of 66.5 ± 9% and 59.1 ± 10% in tEEG and conventional EEG recordings, respectively. These findings suggest that the dynamical changes in brain rhythms may be more easily detected by tEEG than by conventional EEG with implications for clinical diagnosis and neurofeedback applications.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018
Pages68-72
Number of pages5
ISBN (Electronic)9781538675687
DOIs
StatePublished - Jul 2 2018
Event2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018 - Louisville, United States
Duration: Dec 6 2018Dec 8 2018

Publication series

Name2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018

Conference

Conference2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018
Country/TerritoryUnited States
CityLouisville
Period12/6/1812/8/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

Research supported by National Science Foundation Grant No. 1539068. ACKNOWLEDGMENT Research supported by National Science Foundation Grant No. 1539068.

FundersFunder number
National Science Foundation (NSF)1539068
National Science Foundation (NSF)

    Keywords

    • Alpha rhythm
    • Concentric electrodes
    • EEG
    • Visual suppression
    • tEEG

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Science Applications
    • Computer Networks and Communications

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