Title :
A transform domain approach to enhancement of evoked potential EEG signals
Author :
Tahernezhadi, M. ; Karthik, R. ; Kong, X.
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
fDate :
30 Oct-2 Nov 1997
Abstract :
In this paper, a transform domain approach is employed for enhancement of a periodic signal in broadband noise. In particular, results are presented in application of evoked potential EEG signals for tracking certain harmonics of interest. The proposed structure provides superior performance compared to the conventionally used full-band algorithm known as the Fourier linear combiner (FLC)
Keywords :
adaptive signal processing; bioelectric potentials; electroencephalography; medical signal processing; noise; transforms; Fourier linear combiner; broadband noise; evoked potential EEG signals; full-band algorithm; harmonic tracking; performance; periodic signal enhancement; transform domain approach; Adaptive filters; Band pass filters; Electroencephalography; Frequency estimation; Interference; Least squares approximation; Periodic structures; Power harmonic filters; Signal processing algorithms; Steady-state;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756969
