Abstract
Objective. The present paper introduces a new perspective on the classical ensemble averaging which can be useful to analyse the Brainstem Auditory Evoked Potentials (BAEPs). The analysis of the dynamics, related to the BAEP, is performed directly after its acquisition from the electroencephalogram (EEG). Methods. The method primarily consists of dynamically modelling the averaged potential, obtained during the acquisition mode. Each averaging of signal at a given instant is considered as an autoregressive (AR) process. Results. It has been shown that the predicting error power of AR modelling can be useful to provide an efficient tool to analyse the BAEPs. It has also been shown that the method is capable of taking the non-stationarities of both the BAEP and the EEG into account. Conclusion. In order to validate our approach, the proposed technique has been implemented for both simulated and real signals. This approach can also be employed in the context of estimating other evoked potentials and shows rich promise for potential clinical applications in future.
Similar content being viewed by others
REFERENCES
Vannier E, Adam O, Karasinski P, Ohresser M, Motsch JF. Computer-assisted ABR interpretation using the automatic construction of the latency-intensity curve. Audiology 2001; 40: 191–201.
Vannier E, Adam O, Motsch JF. Objective detection of brain-stem auditory evoked potentials with a priori information from higher presentation levels. Artif Intel Med 2002; 25: 283–301.
Na¨ýt-Ali A, Siarry P. Application of simulated annealing for es-timating BAEPs in endocochlear pathologies. Med Eng Phys 2002; 24: 385–392.
Hoke M, Ross B, Wickesberg R, L¨utkenh¨oner B. Weighted averaging-theory and application to electric response audiom-etry. Electroencep Clin Neurophysiol 1984; 57: 484–489.
Davila CE, Azmoodeh M. Weighted averaging of evoked po-tentials. IEEE Trans Biomed Eng 1992; 39: 338–345.
Mc Gillem CD, Aunon JI, Polmalaza CA. Improved waveform estimation procedures for event related potentials. IEEE Trans Biomed Eng 1985; 32: 371–379.
Yu XH, Zhang YS, He ZY. Peak component latency-corrected average: method for evoked potential waveform. IEEE Trans Biomed Eng 1994; 41: 1072–1082.
Von Spreckelsen M. Estimation of single-evoked cerebral po-tentials by means of parametric modeling and Kalman filtering. IEEE Trans Biomed Eng 1988; 35: 691–700.
Sparacino G, Milani S, Arslan E, Cobelli C. A Bayesian approach to estimate evoked potentials. Comput Methods Programs Biomed 2002; 68: 233–248.
Don M, Elberling C. Use of quantitative measures of audi-tory brainstem response peak amplitude and residual background noise in the decision to stop averaging. J Acoust Soc Am 1996; 99: 491–499.
Lina-Granade G, Collet L, Morgon A. Auditory-evoked brain-stem responses elicited by maximum-length sequences in normal and sensorineural ears. Audiology 1994; 33: 218–236.
Leung SM, Slaven A, Thornton ARD, Brickley GJ. The use of high stimulus rate auditory brainstem responses in the estima-tion of hearing threshold. Hear Res 1998; 123: 201–205.
Mitchell CR, Kempton JB, Creedon TA, Trune DR. The use of a 56-stimulus train for the rapid acquisition of auditory brainstem responses. Audiol Neurootol 1999; 4: 80–87.
Pardey J, Roberts S, Tarassenko L. A review of parametric mod-eling techniques for EEG analysis. Med Eng Phys 1996; 18: 2–11.
Kay SM, Marple SL. Modern soectral estimation: Theory and application. Englewood Cliffs, New Jersey: Prentice Hall, 1988.
Herrmann CS, Arnold T, Visbeck A, Hundemer HP, Hopf HC. Adaptive frequency decomposition of EEG with subsequent ex-pert system analysis. Comput Biol Med, 2001; 31: 407–427.
Gao S, Loew MH. An autoregressive model of the BAEP signal for hearing threshold testing. IEEE Trans. Biomed Eng 1986; 33: 560–565.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Vannier, E., Naït-Ali, A. Baeps Averaging Analysis Using Autoregressive Modelling. J Clin Monit Comput 18, 147–155 (2004). https://doi.org/10.1023/B:JOCM.0000042919.04719.a7
Issue Date:
DOI: https://doi.org/10.1023/B:JOCM.0000042919.04719.a7