Reference signal impact on EEG energy

Sanqing Hu, Squire Matthew Stead, Hualou Liang, Gregory Alan Worrell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

A reference is required to record electroencephalography (EEG) signals, and therefore the reference signal can effect any quantitative EEG analysis. In this study, we investigate the impact of reference signal amplitude on a commonly used quantitative measure of the EEG, the signal energy. We show that: (i) when the reference signal and the non-referential signal have negative correlation, the energy of the referential signal will monotonically increase as the amplitude of the reference signal increases from 0 to ∞. (ii) When the reference signal and the non-referential signal have positive correlation, energy of the referential signal first decreases to some nonnegative value and then increases as the amplitude of the reference signal increases from 0 to ∞. In general, the reference signal may decrease or increase energy values. But a reference signal with higher relative amplitude will surely increase energy values. In [1], we developed a method to identify and extract the reference signal contribution to EEG recordings. Here we apply this approach to referential EEG recorded from human subjects and directly investigate the contribution of recording reference on energy and show that the reference signal may have a significant effect on energy values.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages605-611
Number of pages7
Volume5553 LNCS
EditionPART 3
DOIs
StatePublished - 2009
Event6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China
Duration: May 26 2009May 29 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume5553 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Symposium on Neural Networks, ISNN 2009
CountryChina
CityWuhan
Period5/26/095/29/09

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Electroencephalography
Energy
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Keywords

  • Bipolar EEG
  • Corrected EEG
  • Energy
  • Referential EEG
  • Scalp reference signal

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Hu, S., Stead, S. M., Liang, H., & Worrell, G. A. (2009). Reference signal impact on EEG energy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 5553 LNCS, pp. 605-611). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5553 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-01513-7_66

Reference signal impact on EEG energy. / Hu, Sanqing; Stead, Squire Matthew; Liang, Hualou; Worrell, Gregory Alan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5553 LNCS PART 3. ed. 2009. p. 605-611 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5553 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hu, S, Stead, SM, Liang, H & Worrell, GA 2009, Reference signal impact on EEG energy. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 edn, vol. 5553 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 5553 LNCS, pp. 605-611, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, 5/26/09. https://doi.org/10.1007/978-3-642-01513-7_66
Hu S, Stead SM, Liang H, Worrell GA. Reference signal impact on EEG energy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Vol. 5553 LNCS. 2009. p. 605-611. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). https://doi.org/10.1007/978-3-642-01513-7_66
Hu, Sanqing ; Stead, Squire Matthew ; Liang, Hualou ; Worrell, Gregory Alan. / Reference signal impact on EEG energy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5553 LNCS PART 3. ed. 2009. pp. 605-611 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
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