| Title | Coherence Estimation between EEG signals using Multiple Window Time-Frequency Analysis compared to Gaussian Kernels |
| Authors | Johan Sandberg, Maria Sandsten |
| Alternative Location | http://www.eurasip.org/Proc..., Restricted Access |
| Publication | 14th European Signal Processing Conference |
| Year | 2006 |
| Document type | Conference paper |
| Conference name | 14th European Signal Processing Conference (EUSIPCO 2006) |
| Conference Date | Sep 04, 2006 - Sep 08, 2006 |
| Conference Location | Florence, Italy |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE Press |
| Abstract English | It is believed that neural activity evoked by cognitive tasks is spatially correlated in certain frequency bands. The electroencephalogram (EEG) is highly affected by noise of large amplitude which calls for sophisticated time local coherence estimation methods.<br> <br> <br> <br> In this paper we investigate different approaches to estimate time local coherence between two real valued signals. Our results indicate that the method using two dimensional Gaussian kernels has a slightly better average SNR compared to the multiple window approach. On the other hand, the multiple window approach has a more narrow SNR distribution and seems to perform better in the worst case. |
| Keywords | Non-stationary, Time-Frequency-Analysis, EEG, Coherence, |
Questions: webmaster
Last update: 2013-04-11
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)