TY - GEN
T1 - Adaptive spatial harmonic analysis of EEG data using Laplacian eigenspace
AU - Graichen, Uwe
AU - Eichardt, Roland
AU - Fiedler, Patrique
AU - Strohmeier, Daniel
AU - Haueisen, Jens
PY - 2011
Y1 - 2011
N2 - Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a considerable quantity of data. For the analysis of this EEG data, efficient signal analysis and decomposition methods are essential. In this paper a new method for spatial harmonic analysis of EEG data using the Laplacian eigenspace of the meshed surface of electrode positions is presented. The resulting eigenspace enables the spatial harmonic analysis, filtering, denoising and decomposition of EEG data. For a proof of concept, the proposed approach is applied to an 128 channel EEG recording of visual evoked potentials. A set of harmonic spatial basis functions for the EEG electrode setup is estimated. The EEG data are spatially decomposed and low pass filtered using the harmonic spatial basis functions.
AB - Electroencephalography is an important diagnostic tool for functional investigations of the human brain. Recent EEG measurement technologies provide high numbers of electrodes and sampling rates, which results in a considerable quantity of data. For the analysis of this EEG data, efficient signal analysis and decomposition methods are essential. In this paper a new method for spatial harmonic analysis of EEG data using the Laplacian eigenspace of the meshed surface of electrode positions is presented. The resulting eigenspace enables the spatial harmonic analysis, filtering, denoising and decomposition of EEG data. For a proof of concept, the proposed approach is applied to an 128 channel EEG recording of visual evoked potentials. A set of harmonic spatial basis functions for the EEG electrode setup is estimated. The EEG data are spatially decomposed and low pass filtered using the harmonic spatial basis functions.
UR - https://www.scopus.com/pages/publications/79960676101
U2 - 10.1109/NFSI.2011.5936811
DO - 10.1109/NFSI.2011.5936811
M3 - Contribution to conference proceeding
AN - SCOPUS:79960676101
SN - 9781424482818
T3 - 2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism, NFSI and ICBEM 2011
SP - 18
EP - 21
BT - 2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism, NFSI and ICBEM 2011
T2 - 2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism, NFSI and ICBEM 2011
Y2 - 13 May 2011 through 16 May 2011
ER -