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 | Canada |
| City | Vancouver, BC |
| Period | 8/20/08 → 8/25/08 |
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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
A new visual feed-back modality for the reduction of artifacts in mu-rhythm based brain-computer interfaces. / Bianchi, Luigi; Pronestì, Danilo; Abbafati, Manuel; Quitadamo, Lucia Rita; Marciani, Maria Grazia; Saggio, Giovanni.
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
}
TY - GEN
T1 - A new visual feed-back modality for the reduction of artifacts in mu-rhythm based brain-computer interfaces
AU - Bianchi, Luigi
AU - Pronestì, Danilo
AU - Abbafati, Manuel
AU - Quitadamo, Lucia Rita
AU - Marciani, Maria Grazia
AU - Saggio, Giovanni
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Artifacts
KW - Brain computer interface
KW - Feedback
KW - Mu-rhythm
UR - http://www.scopus.com/inward/record.url?scp=61849096556&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=61849096556&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:61849096556
SN - 9781424418152
SP - 1323
EP - 1326
BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
ER -