Application of fast Fourier transform to auditory evoked brainstem response

Abstract

The current application of fast Fourier transform (FFT) to the analysis of auditory evoked brainstem response (ABR) is reviewed under four categories: (1) digital filtering, which facilitates isolation of fast and slow components from the same ABR wave, is the most common use of FFT; (2) power spectral analysis: this seems significant in ABR for isolating and analysing slow, middle and fast components from the Fourier components around each peak of the power spectrum with a three-peak pattern by inverse fast Fourier transform; (3) cross correlation function shows the relationship between two signals being analysed from the viewpoint of their phase. Clinical applications are used in the diagnosis of multiple sclerosis and for automatic detection of ABR; and (4) phase spectral analysis: the synchrony measure method (Fridman, 1984) is a type of phase spectral analysis. In this method, the phase variances of selected Fourier components are calculated, from among 10 averaging groups of 200 sweeps in the same stimulating conditions, to determine the presence or absence of a response. The clinical application of this method to the automatic evaluation of ABR is discussed.

The effects of digital filtering on feline auditory brain-stem evoked potentials

“…However, careful examination of the spectra provided in these and other reports (Boston 1981;Boston and M~ller 1985;Aoyagi and Harada 1988), and results from our laboratory (Urbach and Pratt 1986), reveal 3 frequency bands separated by notches at 240 Hz and 484 Hz. Filters for each of the frequency bands in the ABEP frequency spectrum of humans (Urbach and Pratt 1986) differentially affected components, depending on the band.…”

Discrete wavelet analysis of the auditory brainstem response: effects of subject age, gender and test ear

“…AB-RMS, A6-111 and A6-V (covering the later waves in the 0-266.6 Hz range), D6-RMSY D6-I11 and D6-V (covering the later waves in the 266.6-533. 3 Hz range), and possibly the D5-RMS, D5-111 and D5-V (covering the later waves in the 533.3-1066.6 Hz range). Such a hypothesis was only partly supported by this studies findings with the D5-RMS, D6-V, and D5-V components showing the most effects, but A6-RMS, A6-I, D5-I and D5-I11 also showing effects, due to subject age and gender.…”

Objective detection of auditory brainstem potentials: Comparison of statistical tests in the time and frequency domains

“…There are a relatively large number of publications concerning statistical response detection procedures. Up to now, the main focus of attention has been on procedures in the frequency domain (Aoyagi & Harada, 1988;Bachen, 1986;Cebulla et al, 1996;Dobie & Wilson, 1993;Fridman et al, 1984;Jervis et al, 1983;Lütkenhöner, 1991;Stürzebecher & Cebulla, 1997). All these publications refer to so-called one-sample tests.…”