DocumentCode :
388512
Title :
Application of a cepstral distance measure in evoked potential processing
Author :
Rauner, H. ; Appel, U. ; Wolf, W.
Author_Institution :
Bundeswehr University, Munich, Neubiberg, FRG
Volume :
8
fYear :
1983
fDate :
30407
Firstpage :
280
Lastpage :
283
Abstract :
Transient evoked potentials (EPs) are variations of the on-going electroencephalogram (EEG) in response to the application of sensory stimuli. Since their amplitudes are very small in comparison to the spontaneous EEG, signal extraction methods must be applied to improve the signal-to-noise ratio. A short review of commonly used signal processing methods in EP research is given, concentrating on their assumptions and limitations. Subsequently a parametric system model is proposed which considers the characteristics of the on-going EEG preceding the stimulus in the EP processing. In order to show the advantage of this approach some results are given and their impact on the aforementioned methods is discussed.
Keywords :
Brain modeling; Cepstral analysis; Data mining; Electroencephalography; Frequency estimation; Humans; Matched filters; Noise level; Signal processing; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
Type :
conf
DOI :
10.1109/ICASSP.1983.1172222
Filename :
1172222
Link To Document :
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