Adaptive Fourier Estimation of Time-Varying Evoked Potentials

IEEE Transactions on Biomedical Engineering

Volumn 36, Issue 4, 1989, Pages 448-455

  Vaz, Christopher A ^a   Thakor, Nitish V ^a  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CENTRAL NERVOUS SYSTEM; EVOKED RESPONSE; METHODOLOGY; THEORETICAL STUDY;

EVOKED POTENTIALS, VISUAL; FOURIER ANALYSIS; SUPPORT, U.S. GOV'T, NON-P.H.S.; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0024475890     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.18751     Document Type: Article

References (15)

1. C. D. McGillem, J. I. Aunon, and D. G. Childers, “Signal processing in evoked potential research: Applications of filtering and pattern recognition,” in Critical Reviews in Bioengineering. Cleveland, OH: CRC, Oct. 1981, pp. 225–265.
2. T. Tsubokawa and R. Ramsay, “Evoked responses: Use in neurological intensive care” in Intensive Care for Neurological Trauma and Disease. B. A. Green, L. F. Marshall, T. J. Gallagher, Eds. New York: Academic, 1982, pp. 201–216.
3. N. V. Thakor, “Improved SNR in evoked potentials by adaptive filtering,” in Proc. VII Ann. Conf. IEEE/EMBS, Chicago, IL, 1985, pp. 112–113.
4. E. R. Ferrara and B. Widrow, “The time-sequenced adaptive filter,” IEEE Trans. Circuits Syst., vol. CAS-28, pp. 519–523, 1981.
5. B. Widrow and S. D. Stearns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
6. D. O. Walter, “A posteriori ‘Wiener filtering’ of average evoked responses,” Electroencephalogr. clin. Neurophysiol., vol. 27, pp. 61–70, 1969.
7. J. P. C. de Weerd, “A posteriori time-varying filtering of average evoked potentials,” Biol. Cybern., vol. 41, pp. 211–222, 1981.
8. K. Yu and C. D. McGillem, “Optimum filters for estimating evoked potential waveforms,” IEEE Trans. Biomed. Eng., vol. BME-24, pp. 232–241, 1977.
9. J. A. Sgro, R. G. Emerson, and T. A. Pedley, “Real-time reconstruction of evoked potentials using a new two-dimensional filter method,” Electroencephalogr. clin. Neurophysiol., vol. 62, pp. 372–380, 1985.
10. C. A. Vaz, I. N. Bankman, and N. V. Thakor, “Evoked potentia estimation using a Fourier series model,” in Proc. IX Ann. Conf. IEEE Eng. Med. Biol. Soc., Boston, MA, 1987, pp. 600–601.
11. R. R. Bitmead, “Convergence in distribution of LMS-type adaptive parameter estimates,” IEEE Trans. Automat. Contr., vol. AC-28, pp. 54–60, 1983.
12. A. Feuer and E. Weinstein, “Convergence analysis of LMS filters with uncorrelated Gaussian data,” IEEE Trans. Acoust., Speech. Signal Processing, vol. ASSP-33, pp. 222–230, 1985.
13. R. W. McPherson, B. Sell, and R. J. Traystman, “Effects of thio pental, fentanyl and etomidate on upper extremity somatosensory evoked potentials in humans,” Anesthesiology, vol. 65, pp. 584–589, 1986.
14. H. J. Heinze and H. Kiinkel, “ARMA—Filtering of evoked potentials,” Meth. Inform. Med., vol. 23, pp. 29–36, 1984.
15. J. E. Mason, E. W. Bai, L-C. Fu, M. Bodson, and S. S. Sastry, “Analysis of adaptive identifiers in the presence of unmodelled dynamics: Averaging and tuned parameters,” in Proc. 26th IEEE Conf. Decision and Control, Los Angeles, CA, 1987, pp. 360–365.