Abstract

Electroenecephalography (EEG) studies can be carried out using forward methods, where the scalp potential is first determined for given localized brain neural dipole sources. The recently introduced surface charge forward method addresses the forward problem by means of an integral equation where the accumulated charge at the boundaries between homogeneous regions is taken as the basic variable. We demonstrate the application of this method to the case of realistic head shapes with multiple homogenous regions and discuss the use of these results to source tracking problems.

Original languageEnglish (US)
Title of host publicationConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
EditorsMichael B. Matthews
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1323-1327
Number of pages5
Volume2017-October
ISBN (Electronic)9781538618233
DOIs
StatePublished - Apr 10 2018
Event51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 - Pacific Grove, United States
Duration: Oct 29 2017Nov 1 2017

Other

Other51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
CountryUnited States
CityPacific Grove
Period10/29/1711/1/17

Fingerprint

Surface charge
Integral equations
brain
Brain
Charge
tracking problem
integral equations
Forward Problem
dipoles
Dipole
Integral Equations
Model
Demonstrate

ASJC Scopus subject areas

  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation

Cite this

Solisi, F. J., & Papandreou-Suppappola, A. (2018). Multiple interface brain and head models for EEG: A surface charge approach. In M. B. Matthews (Ed.), Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 (Vol. 2017-October, pp. 1323-1327). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSSC.2017.8335568

Multiple interface brain and head models for EEG : A surface charge approach. / Solisi, F. J.; Papandreou-Suppappola, Antonia.

Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. ed. / Michael B. Matthews. Vol. 2017-October Institute of Electrical and Electronics Engineers Inc., 2018. p. 1323-1327.

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

Solisi, FJ & Papandreou-Suppappola, A 2018, Multiple interface brain and head models for EEG: A surface charge approach. in MB Matthews (ed.), Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 1323-1327, 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, Pacific Grove, United States, 10/29/17. https://doi.org/10.1109/ACSSC.2017.8335568
Solisi FJ, Papandreou-Suppappola A. Multiple interface brain and head models for EEG: A surface charge approach. In Matthews MB, editor, Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Vol. 2017-October. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1323-1327 https://doi.org/10.1109/ACSSC.2017.8335568
Solisi, F. J. ; Papandreou-Suppappola, Antonia. / Multiple interface brain and head models for EEG : A surface charge approach. Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. editor / Michael B. Matthews. Vol. 2017-October Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1323-1327
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