# Detection of brainstem auditory evoked potential by adaptive filtering

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## Abstract

A method of detecting brainstem auditory evoked potential (BAEP) using adaptive signal enhancement (ASE) is proposed and tested in humans and cats. The ASE in this system estimates the signal component of the primary input, which is correlated with the reference input to the adaptive filter. The reference input is carefully designed to make an optimal and rapid estimation of the signal corrupted with noise, such as ongoing EEG. With a good choice of reference input, it is possible to track the variability of BAEP efficiently and rapidly. Moreover, the number of repetitions required could be markedly reduced and the result of the system is superior to that of ensemble averaging (EA). To detect BAEP in cats, only 30 ensemble averages are needed to obtain a reasonable reference input to the adaptive filter, and, for humans, 350–750 ensemble averages are sufficient for a satisfactory result. Using the LMS adaptive algorithm, individual BAEP can be obtained in real-time.

## Keywords

Adaptive signal enhancement Brainstem auditory evoked potential Convergence Correlation coefficient## Preview

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## References

- Chan, F. H. Y., Lam, K. F., Poon, P. W. F. andDu, M. H. (1992): ‘Measurement of human BAERs by the maximum length sequence technique.’
*Med. Biol. Eng. Comput.*,**30**, pp. 32–40CrossRefGoogle Scholar - De Weerd, J. P. C. (1981): ‘A posteriori time-varying filtering of averaged evoked potential I. Introduction and conceptual basis.’
*Biol. Cybern.*,**41**, pp. 211–222zbMATHCrossRefGoogle Scholar - Doyle, D. J. (1975): ‘Some comments on the use of Wiener filtering for the estimation of evoked potentials.’
*Electroenceph. Clin. Neurophysiol.*,**38**, pp. 533–534CrossRefGoogle Scholar - Ferrara, E. Jr., andWidrow, B. (1981): ‘Multichannel adaptive filtering for signal enhancement.’
*IEEE Trans.***ASSP-29**, pp. 766–770zbMATHGoogle Scholar - Haykin, S. (1986): ‘Adaptive filter theory.’ (Prentice-Hall, Inc., Englewood Cliffs, New Jersey)zbMATHGoogle Scholar
- Lam, F. K., Chan, F. H. Y., Poon, P. W. F., Du, M. H. andXu, B. Z. (1991): ‘Visual evoked potential measurement by maximum length sequence technique.’
*Bio-Med. Mater. & Eng.***1**, pp. 91–103Google Scholar - Laguna, P., Meste, O., Poon, P. W., Caminal, P., Rix, H. andThakor, N. T. (1992): ‘Adaptive filter for event-related bioelectric signals using an impulse correlated reference input: comparison with signal averaging techniques.’
*IEEE Trans.*,**BME-39**, pp. 1032–1044Google Scholar - Madhavan, P. G. (1992): ‘Minimal repetition evoked potentials by modified adaptive line enhancement.’——ibid.,,
**BME-39**, pp. 760–764Google Scholar - McGillen, C. D., Aunon, J. I. andYu, K. B. (1985): ‘Signals and noise in evoked brain potentials.’——ibid.,,
**BME-32**, pp. 1012–1016Google Scholar - Parker, P. A. andGopalan, R. (1987): ‘Evoked response signal and system nonlinearity.’——ibid.,,
**BME-34**, pp. 771–778Google Scholar - Regan, D. (1989): ‘Human brain electrophysiology: evoked potentials and evoked magnetic fields in science and medicine.’ (Elsevier, New York)Google Scholar
- Thakor, N. V. (1987): ‘Adaptive filtering of evoked potentials.’
*IEEE Trans.*,**BME-34**, pp. 6–12Google Scholar - Walter, D. O. (1969): ‘A posteriori ‘Wiener filtering’ of average evoked response.’
*Electroenceph. Clin. Neurophysiol.*,**Suppl. 27**, pp. 61–70Google Scholar - Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, C. S., Dong, E. Jr. andGoodlin, R. C. (1975): ‘Adaptive noise cancelling: principles and applications.’
*Proc. IEEE*,**63**, pp. 1692–1716CrossRefGoogle Scholar - Widrow, B., McCool, J. M., Larimore, M. G. andJohnson, C. R. Jr. (1976): ‘Stationary and nonstationary learning characteristics of the LMS adaptive filter.’
*Proc. IEEE*,**64**, pp. 1151–1162MathSciNetGoogle Scholar - Widrow, B. andStearns, S. D. (1985): ‘
*Adaptive signal processing*.’ (Prentice-Hall, Inc., Englewood Cliffs, New Jersey)zbMATHGoogle Scholar