Title :
Model-based noise reduction for single trial evoked potentials
Author :
Flexer, Arthur ; Bauer, Herbert ; Lamm, Claus ; Dorffner, Georg
Author_Institution :
Austrian Res. Inst. for Artificial Intelligence, Vienna, Austria
Abstract :
Two model-based techniques, Gaussian mixture models with integrated noise component and principal component analysis, are applied to noise reduction for single trial evoked potentials which are buried in noise up to five times stronger than the signal. An empirical study using artificial data is presented and results are compared to the standard technique of averaging
Keywords :
bioelectric potentials; electroencephalography; principal component analysis; Gaussian mixture models; artificial data; averaging; integrated noise component; model-based noise reduction; principal component analysis; single trial evoked potentials; Anthropometry; Brain; Delay; Electrodes; Gaussian noise; Noise reduction; Principal component analysis; Psychology; Signal analysis; Signal to noise ratio;
Conference_Titel :
Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop
Conference_Location :
North Falmouth, MA
Print_ISBN :
0-7803-7196-8
DOI :
10.1109/NNSP.2001.943154
