Application of LMS adaptive predictive filtering for muscle artifact (noise) cancellation from EEG signals

Computers and Electrical Engineering

Volumn 22, Issue 1, 1996, Pages 13-30

  Narasimhan, S V ^a,b   Narayana Dutt, D ^b  

^a SURFACE ENGINEERING DIVISION   (India)

^b INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

EEG analysis; Least mean square adaptive algorithm; Muscle artifact; Noise cancellation; Predictive filtering

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; LEAST SQUARES APPROXIMATIONS; LOW PASS FILTERS; NOISE ABATEMENT;

ELECTROENCEPHALOGH ANALYSIS; LEAST MEAN SQUARE ADAPTIVE ALGORITHMS; MUSCLE ARTIFACTS; NOISE CANCELLATION; PREDICTIVE FILTERING;

ADAPTIVE FILTERING;

EID: 0029733251     PISSN: 00457906     EISSN: None     Source Type: Journal    
DOI: 10.1016/0045-7906(95)00030-5     Document Type: Article

References (17)

1. A. Isaksson, A. Wennberg and L. H. Zetterberg, Computer analysis of EEG signals with parametric models. Proc. IEEE 69, 451-461 (1981).
2. A. Isaksson and A. Wennberg, Visual evaluation and computer analysis of the EEG - a comparison. Electroencephalo. Clin. Neurophysiol. 38, 79-86 (1975).
3. R. D. O'Donnell, J. Berkhout and W. R. Adey, Contamination of scalp muscles. Electroencephalo. Clin. Neurophysiol. 37, 145-151 (1974).
4. L. G. Kiloh, A. J. Mc Comas and J. W. Osselton, Clinical Electroencephalo., Chap. 3, pp. 46-49. Butterworths, London (1979).
5. J. S. Barlow, EMG artifact minimisation during clinical recordings by special analog filters. Electroencephalo. Clin. Neurophysiol. 58, 161-174 (1984).
6. T. L. Johnson, S. C. Wright and A. Segall, Filtering of muscle artifact from the electroencephalogram. IEEE Trans. Bio medical Engng BME-26, 56-563 (1979).
7. F. Bartoli and S. Cerutti, An optimal linear filter for the reduction of muscle noise superimposed to the EEG signal. J. Biomedical Engng 5, 274-280 (1983).
8. J. S. Barlow, Muscle spike artifact minimisation in EEG by time domain filtering. Electroencephalo. Clin. Neurophysiol. 55, 487-491 (1983).
9. B. Widrow, J. R. Glover, J. M. McCool, J. Kaunitz, C. S. Williams, R. H. Hearn, J. R. Ziidler, E. Dong and R. C. Goodlin, Adaptive noise cancelling: principles and applications. Proc. IEEE 63, 1692-1716 (1975).
10. A. V. Oppenheim and R. W. Schafer, Digital Signal Processing. Prentice-Hall, New York (1975).
11. A. Budak, Passive and Active Network Analysis and Synthesis, Chap. 22. Houghton Mifflin Company, Boston (1974).
12. E. H. Satorius, J. R. Ziddler and S. T. Alexander, Noise cancellation via linear prediction filtering. Int. Conf. Acoustics Speech and Signal Processing, 937-940 (1979).
13. M. R. Sambur, Adaptive noise cancelling for speech signals. IEEE Trans. Acoustics Speech and Signal Processing 26, 419-423 (1978).
14. L. J. Griffiths, A continuously adaptive lattice filter implemented as a lattice structure. IEEE Conf. Acoustics Speech and Signal Processing, pp. 683-686 (1977).
15. J. P. Burg, Maximum entropy special analysis. Ph.D. dissertation, Stanford Univ., Calif. (U.S.A.).
16. L. H. Zetterberg, Experience with analysis and simulation of EEG signals with parametric description of spectra. Automation of Clinical Electroencephalography (Conference Proceedings, Edited by P. Kellaway and I. Petersen), pp. 161-201. Raven Press, New York (1973).
17. A. S. Gevins, C. L. Yeager, S. L. Diamond, J. P. Spire, G. M. Zeitlin and A. H. Gevins, Automated analysis of electrical acitivty of the human brain (EEG): a progress report, Proc. IEEE 63, 1382-1399 (1975).