Abstract
Chapter 12 provides an application example of fractional-order signal processing techniques in evoked potentials signals. To improve the latency change estimation of evoked potentials under the lower order α-stable noise conditions by proposing, a new adaptive evoked potentials latency change estimation algorithm based on the fractional lower order moment and the nonlinear transform of the error function is proposed. The computer simulation shows that this new algorithm is robust under the lower order α-stable noise conditions, and it also achieves a better performance than the direct least mean square, direct least mean p-norm and signed adaptive algorithms without the need to estimate the α value of the evoked potentials signals and noises.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Etter, D.M., Stearns, S.D.: Adaptive estimation of time delay in sampled system. IEEE Trans. Acoust. Speech Signal Process. 29(3), 582–587 (1981)
Gupta, L., Molfese, D.L., Tammana, R., Simos, P.G.: Nonlinear alignment and averaging for estimating the evoked potential. IEEE Trans. Biomed. Eng. 43(4), 348–356 (1996)
Hazarika, N., Tsoi, A.C., Sergejew, A.A.: Nonlinear considerations in EEG signal classification. IEEE Trans. Signal Process. 45(4), 829–836 (1997)
Kong, X., Qiu, T.: Adaptive estimation of latency change in evoked potentials by direct least mean p-norm time-delay estimation. IEEE Trans. Biomed. Eng. 46(8), 994–1003 (1999)
Kong, X., Qiu, T.: Latency change estimation for evoked potentials via frequency selective adaptive phase spectrum analyzer. IEEE Trans. Biomed. Eng. 46(8), 1004–1012 (1999)
Kong, X., Qiu, T.: Latency change estimation for evoked potentials: a comparison of algorithms. Med. Biomed. Eng. Comput. 39(2), 208–224 (2001)
Kong, X., Thakor, N.V.: Adaptive estimation of latency changes in evoked potentials. IEEE Trans. Biomed. Eng. 43(2), 189–197 (1996)
Ma, X., Nikias, C.L.: Joint estimation of time delay an frequency delay in impulsive noise using fractional lower order statistics. IEEE Trans. Signal Process. 44(11), 2669–2687 (1996)
Matson, D.L., Weiss, M.S.: Evoked potential analysis of impact acceleration experiments. In: AGARD, Electric and Magnetic Activity of the Central Nervous System: Research and Clinical Applications in Aerospace Medicine. 28, vol. 432, pp. 1–13. Neuilly Sur Seine, France (1998)
Mcewen, J.A., Anderson, G.B.: Modeling the stationarity and Gaussianity of spontaneous electroencephalographic activity. IEEE Trans. Biomed. Eng. 22(5), 361–369 (1975)
Nikias, C.L., Shao, M.: Signal Processing with Alpha-Stable Distributions and Applications, 1st edn. Wiley-Interscience, New York (1995)
Qiu, T., Kong, X.: A new adaptive latency change estimation algorithm for evoked potentials under Non-Gaussian noise condition. In: Proceedings of the IEEE-EMBS Asia-Pacific Conference on Biomedical Engineering, Hangzhou, pp. 135–136 (2000)
Vaz, C.A., Thakor, N.V.: Adaptive Fourier estimation of time-varying evoked potentials. IEEE Trans. Biomed. Eng. 36(4), 448–455 (1989)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 Springer-Verlag London Limited
About this chapter
Cite this chapter
Sheng, H., Chen, Y., Qiu, T. (2012). Non-linear Transform Based Robust Adaptive Latency Change Estimation of Evoked Potentials. In: Fractional Processes and Fractional-Order Signal Processing. Signals and Communication Technology. Springer, London. https://doi.org/10.1007/978-1-4471-2233-3_12
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2233-3_12
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2232-6
Online ISBN: 978-1-4471-2233-3
eBook Packages: EngineeringEngineering (R0)