Removal of scalp reference signal and line noise for intracranial EEGs

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

5 Citations (Scopus)

Abstract

Cephalic references are widely used to record Electroencephalography (EEG). The effect of an active common reference on the recorded EEG is one of the oldest technical problems in the study of EEG. Moreover, in many cases EEG channel recordings are contaminated to different degrees with line noise that can pose a significant problem for EEG interpretation and analysis. Thus, identification and removal of the reference signal and line noise is of importance. Here we apply independent component analysis (ICA) and principle component analysis (PCA) to intracranial recordings and propose three methods to remove the reference signal and line noise based on the assumption that the scalp reference and line noise are independent from the local and distributed intracranial sources. The assumption of independence between the scalp reference and intracranial sources is generally valid because the reference scalp electrode is relatively electrically isolated from the intracranial electrodes by the skull's high resistivity and supported by our previous simulation results [4]. The assumption of independence between the line noise and intracranial sources is definitely true. We apply the three proposed methods to intracranial EEGs from one patient undergoing evaluation for epilepsy surgery, and compare the results to bipolar, average, and notch filter iEEGs.

Original languageEnglish (US)
Title of host publicationProceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
Pages1486-1491
Number of pages6
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Networking, Sensing and Control, ICNSC - Sanya, China
Duration: Apr 6 2008Apr 8 2008

Other

Other2008 IEEE International Conference on Networking, Sensing and Control, ICNSC
CountryChina
CitySanya
Period4/6/084/8/08

Fingerprint

Electroencephalography
Electrodes
Notch filters
Independent component analysis
Surgery

Keywords

  • Blind source separation
  • EEG
  • FastICA algorithm
  • Linear model
  • PCA
  • Scalp reference signal
  • Underdetermined mixing matrix

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this

Hu, S., Stead, S. M., & Worrell, G. A. (2008). Removal of scalp reference signal and line noise for intracranial EEGs. In Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC (pp. 1486-1491). [4525455] https://doi.org/10.1109/ICNSC.2008.4525455

Removal of scalp reference signal and line noise for intracranial EEGs. / Hu, Sanqing; Stead, Squire Matthew; Worrell, Gregory Alan.

Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC. 2008. p. 1486-1491 4525455.

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

Hu, S, Stead, SM & Worrell, GA 2008, Removal of scalp reference signal and line noise for intracranial EEGs. in Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC., 4525455, pp. 1486-1491, 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC, Sanya, China, 4/6/08. https://doi.org/10.1109/ICNSC.2008.4525455
Hu S, Stead SM, Worrell GA. Removal of scalp reference signal and line noise for intracranial EEGs. In Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC. 2008. p. 1486-1491. 4525455 https://doi.org/10.1109/ICNSC.2008.4525455
Hu, Sanqing ; Stead, Squire Matthew ; Worrell, Gregory Alan. / Removal of scalp reference signal and line noise for intracranial EEGs. Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC. 2008. pp. 1486-1491
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