Uncertainty through polynomial chaos in the EEG problem
- Author
- Rob De Staelen (UGent)
- Organization
- Abstract
- A sensitivity and correlation analysis of EEG sensors influenced by uncertain conductivity is conducted. We assume a three layer spherical head model with different and random layer conductivities. This randomness is modeled by Polynomial Chaos (PC). On average, we observe the least influenced electrodes along the great longitudinal fissure. Also, sensors located closer to a dipole source, are of greater influence to a change in conductivity -- this is in agreement with previous research. The highly influenced sensors were on average located temporal. This was also the case in the correlation analysis, which was made possible by our approach with PC. Sensors in the temporal parts of the brain are highly correlated. Whereas the sensors in the occipital and lower frontal region, though they are close together, are not so highly correlated as in the temporal regions.
- Keywords
- Electroencephalography, Polynomial Chaos, Sensitivity analysis, Correlation analysis, Uncertain conductivity
Downloads
-
IAENG ICSBB rds rev1701.pdf
- full text
- |
- open access
- |
- |
- 536.25 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1219351
- MLA
- De Staelen, Rob. “Uncertainty through Polynomial Chaos in the EEG Problem.” Proceedings of the World Congress on Engineering 2011, vol. 3, Newswood Limited, 2011, pp. 2658–62.
- APA
- De Staelen, R. (2011). Uncertainty through polynomial chaos in the EEG problem. Proceedings of the World Congress on Engineering 2011, 3, 2658–2662. Hong Kong, China: Newswood Limited.
- Chicago author-date
- De Staelen, Rob. 2011. “Uncertainty through Polynomial Chaos in the EEG Problem.” In Proceedings of the World Congress on Engineering 2011, 3:2658–62. Hong Kong, China: Newswood Limited.
- Chicago author-date (all authors)
- De Staelen, Rob. 2011. “Uncertainty through Polynomial Chaos in the EEG Problem.” In Proceedings of the World Congress on Engineering 2011, 3:2658–2662. Hong Kong, China: Newswood Limited.
- Vancouver
- 1.De Staelen R. Uncertainty through polynomial chaos in the EEG problem. In: Proceedings of the World Congress on Engineering 2011. Hong Kong, China: Newswood Limited; 2011. p. 2658–62.
- IEEE
- [1]R. De Staelen, “Uncertainty through polynomial chaos in the EEG problem,” in Proceedings of the World Congress on Engineering 2011, London, UK, 2011, vol. 3, pp. 2658–2662.
@inproceedings{1219351, abstract = {{A sensitivity and correlation analysis of EEG sensors influenced by uncertain conductivity is conducted. We assume a three layer spherical head model with different and random layer conductivities. This randomness is modeled by Polynomial Chaos (PC). On average, we observe the least influenced electrodes along the great longitudinal fissure. Also, sensors located closer to a dipole source, are of greater influence to a change in conductivity -- this is in agreement with previous research. The highly influenced sensors were on average located temporal. This was also the case in the correlation analysis, which was made possible by our approach with PC. Sensors in the temporal parts of the brain are highly correlated. Whereas the sensors in the occipital and lower frontal region, though they are close together, are not so highly correlated as in the temporal regions.}}, author = {{De Staelen, Rob}}, booktitle = {{Proceedings of the World Congress on Engineering 2011}}, isbn = {{9789881925152}}, keywords = {{Electroencephalography,Polynomial Chaos,Sensitivity analysis,Correlation analysis,Uncertain conductivity}}, language = {{eng}}, location = {{London, UK}}, pages = {{2658--2662}}, publisher = {{Newswood Limited}}, title = {{Uncertainty through polynomial chaos in the EEG problem}}, volume = {{3}}, year = {{2011}}, }