Source estimation of the K-complexes and auditory evoked responses using meg and EEG measurements

Keiji Iramina, Shoogo Ueno

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

Abstract

This study focuses on the sources of the brain electrical activities during sleep, in particular on K-complexes in normal subjects in sleep stage 2. We investigated the relationship between the sources of K-complexes and the sources of auditory evoked responses. We analyzed these waveforms using both topographic electroencephalographic(EEG) and magento-encephalographic (MEG) maps. Based upon the results of the MEG measurements, the source of the K-complexes can be modeled by two current dipoles which are located in parallel at both sides of the midline. The dipoles for the sources of K-complexes are estimated at the locations 5 mm apart from the sources of N100 components of auditory evoked response estimated by the evoked potentials and magnetic fields. This result suggests that the mechanism of K-complexes are closely related to that of auditory evoked responses.

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
EditorsRobert Plonsey, Swamy Laxminarayan, Jean Louis Coatrieux, Jean Pierre Morucci
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2184-2185
Number of pages2
ISBN (Electronic)0780307852
DOIs
Publication statusPublished - Jan 1 1992
Event14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 - Paris, France
Duration: Oct 29 1992Nov 1 1992

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume5
ISSN (Print)1557-170X

Conference

Conference14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
CountryFrance
CityParis
Period10/29/9211/1/92

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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