Title :
Source characterization of evoked potentials after SVD truncation using the noise properties in the single sweeps
Author :
Uijen, G.J.H. ; Stegeman, D.F. ; Pasman, J.W. ; Praamstra, P.
Author_Institution :
Inst. of Neurology, Nijmegen Univ. Hospital, Netherlands
Abstract :
The noise in evoked electrical brain activity can be substantially reduced by means of singular value decomposition and truncation since the effective rank of the data matrix is small compared to the number of leads. It is shown that this procedure can only be successful when the statistical properties of the noise are taken into account
Keywords :
bioelectric potentials; electroencephalography; noise; singular value decomposition; data matrix effective rank; electrical noise properties; evoked electrical brain activity; evoked potentials; noise statistical properties; single sweeps; source characterization; truncation; Brain; Cardiology; Covariance matrix; Decorrelation; Equations; Hospitals; Matrix decomposition; Nervous system; Neurophysiology; Noise reduction; Singular value decomposition; Symmetric matrices;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411806
