Application of linearly-constrained prewhitening beamformer to reconstruction of highly correlated EEG signal sources

Teruyoshi Sasayama, Shoji Hamada, Tetsuo Kobayashi

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

3 Citations (Scopus)

Abstract

In this study, we compared the performances of minimum variance beamformer (MVBF), linearly-constrained (LC)-MVBF, prewhitening beamformer (PWBF), and LC-PWBF with regard to the estimation of signal location in the brain neocortex. Equivalent current dipoles were located in the primary motor cortex in performed numerical simulations by considering applications in brain-computer interfaces based on modulation of μ and β rhythms. It was confirmed that when the signals were highly correlated, the location bias of LC-PWBF was smaller than that of MVBF, LC-MVBF, and PWBF. Obtained results suggest that LC-PWBF is useful for estimating the location of signal sources that are highly correlated and have low signal-to-noise ratio.

Original languageEnglish
Title of host publication2011 IEEE/ICME International Conference on Complex Medical Engineering, CME 2011
Pages593-598
Number of pages6
DOIs
Publication statusPublished - Jul 11 2011
Externally publishedYes
Event2011 5th IEEE/ICME International Conference on Complex Medical Engineering, CME 2011 - Harbin, China
Duration: May 22 2011May 25 2011

Publication series

Name2011 IEEE/ICME International Conference on Complex Medical Engineering, CME 2011

Other

Other2011 5th IEEE/ICME International Conference on Complex Medical Engineering, CME 2011
CountryChina
CityHarbin
Period5/22/115/25/11

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All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Cite this

Sasayama, T., Hamada, S., & Kobayashi, T. (2011). Application of linearly-constrained prewhitening beamformer to reconstruction of highly correlated EEG signal sources. In 2011 IEEE/ICME International Conference on Complex Medical Engineering, CME 2011 (pp. 593-598). [5876810] (2011 IEEE/ICME International Conference on Complex Medical Engineering, CME 2011). https://doi.org/10.1109/ICCME.2011.5876810