A new visual feed-back modality for the reduction of artifacts in mu-rhythm based brain-computer interfaces

Luigi Bianchi, Danilo Pronestì, Manuel Abbafati, Lucia Rita Quitadamo, Maria Grazia Marciani, Giovanni Saggio

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

Abstract

A common problem in EEG recording sessions is that results can be heavily contaminated by artifacts. One of the main reasons is that eyes movements generate a noise signal that superimpose to the data. In some BCI protocols the user has generally to control the movement of a cursor on a PC screen by self-regulating his/her mu-rhythm. In general this requires the user to move the eyes to follow the same cursor, thus intrinsically generating a huge amount of noise. To overcome this problem a new feedback modality has been developed, which is able to dramatically reduce the artifacts as it does not require subjects to move their eyes.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
Pages1323-1326
Number of pages4
Publication statusPublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period8/20/088/25/08

Keywords

  • Artifacts
  • Brain computer interface
  • Feedback
  • Mu-rhythm

ASJC Scopus subject areas

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

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    Bianchi, L., Pronestì, D., Abbafati, M., Quitadamo, L. R., Marciani, M. G., & Saggio, G. (2008). A new visual feed-back modality for the reduction of artifacts in mu-rhythm based brain-computer interfaces. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" (pp. 1323-1326). [4649408]