A comparison of algorithms for detection of spikes in the electroencephalogram

IEEE Transactions on Biomedical Engineering

Volumn 50, Issue 4, 2003, Pages 521-526

  Pang, Clement C C ^a   Upton, Adrian R M ^a   Shine, Glenn ^a   Kamath, Markad V ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Classification; EEG; Neural networks; Spike detection

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; NEUROLOGY;

SPIKE DETECTION;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAM; EPILEPSY; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MATHEMATICAL PARAMETERS; SPIKE; WAVEFORM; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COMPARATIVE STUDY; ELECTROENCEPHALOGRAPHY; EVALUATION; HUMAN; METHODOLOGY; PATHOPHYSIOLOGY; REFERENCE VALUE;

ALGORITHMS; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REFERENCE VALUES;

EID: 0037387588     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2003.809479     Document Type: Article

References (21)

1. I. Daubechies, "The wavelet transform, time-frequency localization and signal analysis," IEEE Trans. Inform. Theory, vol. 36, pp. 961-1005, May 1990.
2. H. Demuth and M. Beale, Neural Network Toolbox for Use With MATLAB (User's Guide). Natick, MA: MathWorks Inc., version 3, 1998.
3. R. C. Eberhart and R. W. Dobbins, Neural Network PC Tools. New York: Academic, 1990.
4. J. Gotman, J. R. Ives, and P. Gloor, "Automatic recognition of inter-ictal epileptic activity in prolonged EEG recordings," Electroenceph. Clin. Neurophysiol., vol. 46, pp. 510-520, 1979.
5. J. Gotman, "Automatic recognition of epileptic seizures in the EEG," Electroenceph. Clin. Neurophysiol., vol. 54, pp. 530-540, 1982.
6. J. Gotman, D. Flanagan, J. Zhang, and B. Rosenblatt, "Automatic seizure detection in the newborn: Methods and initial evaluation," Electroenceph. Clin. Neurophysiol., vol. 103, pp. 356-362, 1997.
7. S. Haykin, Neural Networks - A Comprehensive Foundation. New York: Macmillan, 1994.
8. B. Hjorth, "The physical significance of time domain descriptors in EEG analysis," Electroenceph. Clin. Neurophysiol., vol. 34, pp. 306-310, 1973.
9. T. Kalayci and O. Ozdamar, "Wavelet processing for automated neural network detection of EEG spikes," IEEE Eng. Med. Biol. Mag., pp. 160-166, Mar./Apr. 1995.
10. L. G. Kiloh, A. J. McComas, J. W. Osselton, and A. R. M. Upton, Clinical Electroencephalography, 4th ed. London, U.K.: Butterworths, 1981.
11. B. Kloppel, "Neural networks as a new method for EEG analysis," Neuro-Psychobiology, vol. 29, pp. 33-38, 1994.
12. C. Kruth, F. Gilliam, and B. J. Steinhoff, "EEG spike detection with a Kohonen feature map," Ann. Biomed. Eng., vol. 28, no. 11, pp. 1362-1369, Nov. 2000.
13. E. Niedermeyer and F. L. D. Silva, Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 3rd ed. Baltimore, MD: Williams & Wilkins, 1993.
14. I. Osorio, M. G. Frei, and S. B. Wilkinson, "Real-time automated detection and quantitative analysis of seizures and short term prediction of clinical onset," Epilepsia, vol. 39, no. 6, pp. 615-627, 1998.
15. O. Ozdamar and T. Kalayci, "Detection of spikes with artificial neural networks using raw EEG," Comput. Biomed. Res., vol. 31, pp. 122-142, 1998.
16. C. C. Pang, "Algorithms for detection of spikes in the electroencephalogram," M.S. thesis, McMaster Univ., Hamilton, ON, Canada, 2001.
17. H. Qu and J. Gotman, "A patient-specific algorithm for the detection of seizure onset in long-term EEG monitoring: Possible use as a warning device," IEEE Trans. Biomed. Eng., vol. 44, pp. 115-122, Feb. 1997.
18. L. Tarassenko, Y. U. Khan, and M. R. G. Holt, "Identification of inter-ictal spikes in the EEG using neural network analysis," Inst. Elect. Eng. - Proc. Sci. Meas. Technol., vol. 145, no. 6, pp. 270-278, Nov. 1998.
19. B. Walmsley, "On the normalized slope descriptor method of quantifying EEG," IEEE Trans. Biomed. Eng., vol. BME-31, pp. 720-723, 1984.
20. W. R. S. Webber, R. P. Lesser, R. T. Richardson, and K. Wilson, "An approach to seizure detection using an artificial neural network (ANN)," Electroenceph. Clin. Neurophysiol., vol. 98, pp. 250-272, 1996.
21. W. Weng and K. Khorasani, "An adaptive structure neural network with application to EEG automatic seizure detection," Neural Networks, vol. 9, no. 7, pp. 1223-1240, 1996.