DocumentCode :
2384924
Title :
Second order time-frequency distribution in the study of time varying spectral content of EEG signals
Author :
Zavarsky, Pavol ; Fujii, Nobuo ; Magdolen, Jan
Author_Institution :
Dept. of Phys. Electron., Tokyo Inst. of Technol., Japan
fYear :
1994
fDate :
1994
Firstpage :
1240
Abstract :
Approaches to analyze EEG signals based on time-frequency representations are presented. It is shown, that modified time-frequency-frequency distribution based detection statistics can outperform their Wigner distribution counterparts in the detection of some abnormal graph elements in the EEG recordings
Keywords :
electroencephalography; EEG recordings; EEG signals; Wigner distribution counterparts; abnormal graph elements; modified time-frequency-frequency distribution based detection statistics; second order time-frequency distribution; time varying spectral content; time-frequency representations; Additive noise; Autocorrelation; Electroencephalography; Higher order statistics; Interference; Paper technology; Signal analysis; Signal detection; Signal processing; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/IEMBS.1994.415412
Filename :
415412
Link To Document :
بازگشت