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 |
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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 |
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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