SPL talk October 2013
From IEETA
| Title | LOCALIZATION OF DYNAMIC ACTIVE BRAIN SOURCES BASED ON EEG |  |
|---|---|---|
| Speaker | Petia Georgieva | |
| Institution | IEETA /SPL | |
| Date | 2013/10/30 | |
| Time | 15h00-16h00 | |
| Location | Anfiteatro do IEETA | |
| Country | Portugal |
Abstract:
Electroencephalography (EEG)-based brain computer interface (BCI) is the most studied non- invasive interface to build a direct communication chanell between the brain and an external device. However, the technology’s susceptibility to noise in EEG measurements seems to impede such efforts. Alternatively, building BCIs based on less noisy brain sources activity instead of their surface projections, measured by the noisy EEG signals, seems a promising but still not well explored direction. In this context, finding the locations and waveforms of the most active brain sources, that have induced the registered EEG, represents a crucial task for advancing source-based non-invasive BCI technologies. A combination of a statistical Bayesian technique (Particle Filter) and a deterministic approach (Beamforming) to simultaneously estimate the number of the most active brain sources, their locations in the 3D head geometry and their corresponding waveforms is the focus of this talk. Status-quo in the active brain source localization based on EEG assumes fixed (non-moving) sources, independently of the different stimuli that excite the brain. The proposed PF-BF framework has the potential to estimate dynamic (moving) EEG sources.