Parallel Factor Analysis can decompose human EEG during a finger movement task

Hiroaki Mizuhara, Etsuji Yonehara, Akio Gofuku

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

Abstract

To achieve a non-invasive brain computer interface by using the human scalp EEG, we applied the parallel factor analysis (PARAFAC) decomposition to the EEG data measured during the self-initiated and externally cued finger movement tasks. The results showed that the PARAFAC model can decompose the human scalp EEG and identify the intention, which concerns with the finger movement. By applying the core consistency diagnostic to the PARAFAC model, we discussed the feasible method for identifying the appropriate number of the components. Our results suggest that the combination of the EEG and other neuroimaging modality should be applied for producing the appropriate number of the components of the PARAFAC model for the purpose of the non-invasive brain computer interface, while the core consistency diagnostic could decide the minimum number of the components.

Original languageEnglish
Title of host publicationSICE Annual Conference, SICE 2007
Pages1945-1950
Number of pages6
DOIs
Publication statusPublished - Dec 1 2007
EventSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
Duration: Sep 17 2007Sep 20 2007

Publication series

NameProceedings of the SICE Annual Conference

Other

OtherSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
CountryJapan
CityTakamatsu
Period9/17/079/20/07

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Keywords

  • Blind source separation
  • Brain computer interface
  • Cognitive neuroscience
  • Electroencephalography
  • Functional brain imaging
  • Human executive function

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Mizuhara, H., Yonehara, E., & Gofuku, A. (2007). Parallel Factor Analysis can decompose human EEG during a finger movement task. In SICE Annual Conference, SICE 2007 (pp. 1945-1950). [4421305] (Proceedings of the SICE Annual Conference). https://doi.org/10.1109/SICE.2007.4421305