Application of adaptive noise cancellation with neural-network-based fuzzy inference system for visual evoked potentials estimation

Medical Engineering and Physics

Volumn 26, Issue 1, 2004, Pages 87-92

  Yin, Haie ^a   Zeng, Yanjun ^a   Zhang, Jianhua ^a   Pan, Yinfu ^b  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b CAPITAL MEDICAL UNIVERSITY   (China)

Author keywords

Adaptive noise canceling; Neural network based fuzzy inference system; Visual evoked potential estimation

Indexed keywords

BRAIN; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; FUZZY SETS; NEURAL NETWORKS; NOISE ABATEMENT; PATIENT MONITORING; SIGNAL TO NOISE RATIO;

ADAPTIVE NOISE CANCELLATION; VISUAL EVOKED POTENTIALS (VEP);

BIOMEDICAL ENGINEERING;

ARTICLE; BIOLOGICAL MONITORING; CLINICAL EXAMINATION; ELECTROENCEPHALOGRAM; EVOKED VISUAL RESPONSE; HUMAN; MOLECULAR MODEL; NERVE CELL NETWORK; NOISE; PRIORITY JOURNAL; RECORDING;

EID: 0344440922     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2003.08.002     Document Type: Article

References (12)

1. Desmedt J.E. Cognitive components in cerebral event-related potentials and selective attention. 1979;Karger, Basel, Switzerland.
2. Mcgilled C.D., Aunon J.I., Yu K.B. Signals and noise in evoked brain potentials. IEEE Trans Biomed Eng. 32:1985;1012-1016.
3. Fung K.S.M., Chan F.H.Y., Lam F.K., Poon P.W.F. A tracing evoked potential estimator. Med Biol Eng Comput. 37:1999;218-226.
4. Baral C., Kreinovich V., Raul A. Computational complexity of planning with temporal goals. Proceedings of the International Joint Conferences on Artificial Intelligence IJCAI'01, Seattle, Washington, August 4-10, 2001:2001;509-514.
5. Widrow B., Glover J.R. Adaptive noise cancelling: Principles and applications. IEEE Proc. 63:1975;1692-1716.
6. Takagi T., Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst, Man, Cybernet. 15:1985;116-132.
7. Roger Jang J.-S. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst, Man, Cybernet. 23:(3):1993;665-685.
8. Werbos P. Backpropagation through time: what it does and how to do it. IEEE Proc. 78:(10):1974;1550-1560.
9. Roger Jang J.S. Fuzzy modeling using generalized neural networks and Kalman filter algorithm. Proceedings of the Ninth National Conference on Artificial Intelligence:1991;762-767.
10. Goodwin G.C., Sin K.S. Adaptive filtering prediction and control. 1984;Prentice-Hall, Englewood Cliffs, NJ.
11. Strobach P. Linear prediction theory: a mathematical basis for adaptive systems. 1990;Springer-Verlag, New York.
12. Makeig S., Jung T.P., Bell A.J., Ghahremani D., Sejnowski T.J. Blind separation of auditory event-related brain responses into independent components. Proc Natl Acad Sci USA. 94:(20):1997;10979-10984.