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

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

Fondazione Santa Lucia

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
Pages	1323-1326
Number of pages	4
Publication status	Published - 2008
Event	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada Duration: Aug 20 2008 → Aug 25 2008

Other

Other	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/Territory	Canada
City	Vancouver, BC
Period	8/20/08 → 8/25/08

Keywords

Artifacts
Brain computer interface
Feedback
Mu-rhythm

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

Cite this

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]

A new visual feed-back modality for the reduction of artifacts in mu-rhythm based brain-computer interfaces. / Bianchi, Luigi; Pronestì, Danilo; Abbafati, Manuel et al.

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. p. 1323-1326 4649408.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bianchi, L, Pronestì, D, Abbafati, M, Quitadamo, LR, Marciani, MG & 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"., 4649408, pp. 1323-1326, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 8/20/08.

Bianchi L, Pronestì D, Abbafati M, Quitadamo LR, Marciani MG, Saggio G. 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". 2008. p. 1323-1326. 4649408

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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.",

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

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Keywords

ASJC Scopus subject areas

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