Localization of Brain Activity in Electroencephalography Data during Brain-Computer Interface Operation
(2011) EEM820 20112Department of Biomedical Engineering
- Abstract
- In this Master's thesis I present a means of finding active sources of cortical electrical activity from electroencephalogram (EEG) data acquired during operation of a brain-computer interface (BCI). A novel subspace-based technique was used to suppress spatially correlated EEG interference sources, followed by a technique that estimates the source parameters with a near maximum likelihood performance. These sources are found to correlate with event-related potentials (ERPs) and are thus hypothesized to be responsible for the N200 and P300 ERPs. The source localization technique was tested on EEG data of 6 able-bodied subjects, and my analysis underlines consistencies and variation of brain activity locations both within and across... (More)
- In this Master's thesis I present a means of finding active sources of cortical electrical activity from electroencephalogram (EEG) data acquired during operation of a brain-computer interface (BCI). A novel subspace-based technique was used to suppress spatially correlated EEG interference sources, followed by a technique that estimates the source parameters with a near maximum likelihood performance. These sources are found to correlate with event-related potentials (ERPs) and are thus hypothesized to be responsible for the N200 and P300 ERPs. The source localization technique was tested on EEG data of 6 able-bodied subjects, and my analysis underlines consistencies and variation of brain activity locations both within and across subjects. Results are compared to literature and results using other techniques and the new methods show promise in localizing brain activity when dual-condition datasets are available. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/2275108
- author
- Hjärtquist, Oskar LU
- supervisor
- organization
- course
- EEM820 20112
- year
- 2011
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- P300), N200, Event-related potential (ERP, Noise Subspace Fitting (NSF), Null Space Projection (NP), Localization, Dipole source, Elec- troencephalography (EEG), Brain-Computer Interface (BCI) Speller
- language
- English
- additional info
- 2011-09
- id
- 2275108
- date added to LUP
- 2012-01-02 13:13:52
- date last changed
- 2014-10-08 14:47:00
@misc{2275108, abstract = {{In this Master's thesis I present a means of finding active sources of cortical electrical activity from electroencephalogram (EEG) data acquired during operation of a brain-computer interface (BCI). A novel subspace-based technique was used to suppress spatially correlated EEG interference sources, followed by a technique that estimates the source parameters with a near maximum likelihood performance. These sources are found to correlate with event-related potentials (ERPs) and are thus hypothesized to be responsible for the N200 and P300 ERPs. The source localization technique was tested on EEG data of 6 able-bodied subjects, and my analysis underlines consistencies and variation of brain activity locations both within and across subjects. Results are compared to literature and results using other techniques and the new methods show promise in localizing brain activity when dual-condition datasets are available.}}, author = {{Hjärtquist, Oskar}}, language = {{eng}}, note = {{Student Paper}}, title = {{Localization of Brain Activity in Electroencephalography Data during Brain-Computer Interface Operation}}, year = {{2011}}, }