Title :
The effect of reference inputs in the BAEP signal acquisition using an adaptive filter
Author_Institution :
Electr. & Electron. Eng. Dept., Nigde Univ., Nigde, Turkey
fDate :
April 29 2009-May 2 2009
Abstract :
In this study, we have comparatively evaluated the effect of reference inputs in the filtering of Brainstem Auditory Evoked Potentials (BAEP). Trial-to-trial variations in BAEP signal are very important in quantifying dynamical properties of the nervous system and in specifying the group-specific effects in clinical studies. Therefore, we have performed a wavelet network based nonlinear FIR filtering system designed in our previous study for three different reference inputs. Consequently, the simulation results are presented and they are verified that the prefiltered reference input is the best among them for adaptive filtering of the BAEP signal.
Keywords :
FIR filters; Lyapunov methods; adaptive filters; auditory evoked potentials; brain; data acquisition; medical signal processing; neurophysiology; nonlinear filters; wavelet transforms; BAEP signal acquisition; Lyapunov stability theory; adaptive filter; brainstem auditory evoked potential; nervous system; signal filtering; wavelet network based nonlinear FIR filtering system; Adaptive filters; Data mining; Filtering algorithms; Filtering theory; Finite impulse response filter; Maximum likelihood detection; Nervous system; Neural engineering; Nonlinear filters; Wiener filter; Lyapunov stability theory; adaptive filtering; auditory evoked potential;
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
DOI :
10.1109/NER.2009.5109389
