Automated real-time epileptic seizure detection in scalp EEG recordings using an algorithm based on wavelet packet transform

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 7, 2010, Pages 1639-1651

  Zandi, Ali Shahidi ^a   Javidan, Manouchehr ^a,b   Dumont, Guy A ^a   Tafreshi, Reza ^c  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b VANCOUVER GENERAL HOSPITAL   (Canada)

^c TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

Author keywords

EEG; epilepsy; seizure detection; seizure focus lateralization; wavelet packet (WP) transform

Indexed keywords

ALARM SYSTEMS; ALGORITHMS; CHANNEL STATE INFORMATION; ELECTROENCEPHALOGRAPHY; FREQUENCY BANDS; PACKET NETWORKS;

CUMULATIVE SUMS; EEG RECORDING; EPILEPTIC SEIZURE DETECTION; EPILEPTIC SEIZURES; FALSE DETECTIONS; FREQUENCY RANGES; HIGH SENSITIVITY; LATERALIZATION; MOVING-WINDOW; REAL-TIME DETECTION; RELATIVE ENERGIES; SEIZURE DETECTION; TEMPORAL LOBE EPILEPSY; TWO-STATE; WAVELET COEFFICIENTS; WAVELET PACKET TRANSFORMS; WAVELET PACKETS; WAVELET-BASED ALGORITHMS;

WAVELET TRANSFORMS;

ADULT; ALGORITHM; ARTICLE; AUTOMATION; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MALE; MATHEMATICAL ANALYSIS; QUANTITATIVE ANALYSIS; SEIZURE; SENSITIVITY ANALYSIS; TEMPORAL LOBE EPILEPSY; WAVELET PACKET TRANSFORM ALGORITHM; ADOLESCENT; AUTOMATED PATTERN RECOGNITION; EPILEPSY; MIDDLE AGED; PATHOPHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; SIGNAL PROCESSING;

ADOLESCENT; ADULT; ALGORITHMS; ELECTROENCEPHALOGRAPHY; EPILEPSY; FEMALE; HUMANS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77953788429     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2046417     Document Type: Article

References (43)

1. H. Witte, L. D. Iasemidis, and B. Litt, "Special issue on epileptic seizure prediction," IEEE Trans. Biomed. Eng., vol.50, no.5, pp. 537-539, May 2003
2. J. Gotman, "Automatic recognition of epileptic seizures in the EEG," Electoencephalogr Clin. Neurophysiol., vol.54, pp. 530-540, 1982
3. J. Gotman, "Automatic seizure detection: Improvements and evaluation," Electoencephalogr Clin. Neurophysiol., vol.76, pp. 317-324, 1990
4. 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, pp. 615-627, 1998
5. S. M. Hass, M. G. Feri, and I. Osorio, "Strategies for adapting automated seizure detection algorithms," Med. Eng. Phys., vol.29, pp. 895-909, 2007
6. N. S. O'Neill, M. Javidan, and Z. J. Koles, "Identification of the temporal components of seizure onset in the scalp EEG," Can. J. Neurol. Sci., vol.28, pp. 245-253, 2001
7. R. Meier, H. Dittrich, A. Schulze-Bonhage, and A. Aertsen, "Detecting epileptic seizures in long-term human EEG: A new approach to automatic online and real-time detection and classification of polymorphic seizure patterns," J. Clin. Neurophysiol., vol.25, no.3, pp. 119-131, 2008
8. C. W. Hesse and C. J. James, "Tracking and detection of epileptiform activity in multichannel ictal EEG using signal subspace correlation of seizure source scalp topographies," Med. Biol. Eng. Comput., vol.43, pp. 764-770, 2005
9. M. Tito,M.Cabrerizo,M.Ayala, P. Jayakar, andM.Adjouadi, "Seizure detection: An assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions," J. Clin. Neurophysiol., vol.26, no.6, pp. 381-391, 2009
10. A. J. Gabor, R. R. Leach, and F. U. Dowla, "Automated seizure detection using a self-organizing neural network," Electoencephalogr. Clin. Neurophysiol., vol.99, pp. 257-266, 1996
11. A. J. Gabor, "Seizure detection using a self-organizing neural network: Validation and comparison with other detection strategies," Electoencephalogr. Clin. Neurophysiol., vol.107, pp. 27-32, 1998
12. C. J. James, R. D. Jones, P. J. Bones, andG. J.Carroll, "Detection of epileptiform discharges in the EEG by a hybrid system comprising mimetic, self-organized artificial neural network, and fuzzy logic stages," Clin. Neurophysiol., vol.110, no.12, pp. 2049-2063, 1999
13. V. Srinivasan, C. Eswaran and N. Sriraam, "Approximate entropy-based epileptic EEG detection using artificial neural networks," IEEE Trans. Inf. Technol. Biomed., vol.11, no.3, pp. 288-295, May 2007 (Pubitemid 46758846)
14. G. Tezel and Y. Özbay, "A new approach for epileptic seizure detection using adaptive neural network," Expert. Syst. Appl., vol.36, no.1, pp. 172- 180, 2009
15. Y. U. Khan and J. Gotman, "Wavelet based automatic seizure detection in intracerebral electroencephalogram," Clin. Neurophysiol., vol.114, pp. 898-908, 2003
16. M. E. Saab and J. Gotman, "A system to detect the onset of epileptic seizures in scalp EEG," Clin. Neurophysiol., vol.116, pp. 427-442, 2005
17. L. Kuhlmann, A. N. Burkitt, M. J. Cook, K. Fuller, D. B. Grayden, L. Seiderer, and I. M. Y. Mareels, "Seizure detection using seizure probability estimation: Comparison of features used to detect seizures," Ann. Biomed. Eng., vol.37, no.10, pp. 2129-2145, 2009
18. H. Ocak, "Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy," Expert. Syst. Appl., vol.36, pp. 2027-2036, 2009
19. A. Shoeb, H. Edwards, J. Connolly, B. Bourgeois, S. T. Treves, and J. Guttag, "Patient-specific seizure onset detection," Epilepsy Behav., vol.5, no.4, pp. 483-498, 2004 (Pubitemid 39060703)
20. K. Lehnertz and C. E. Elger, "Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss," Electoencephalogr. Clin. Neurophysiol., vol.95, pp. 108-117, 1995
21. K. Lehnertz and C. E. Elger, "Can epileptic seizures be predicted? Evidence from nonlinear time series analysis of brain electrical activity," Phys. Rev. Lett., vol.80, pp. 5019-5022, 1998
22. M. Le Van Quyen, J. Martinerie, M. Baulac, and F. Valera, "Anticipating epileptic seizures in real time by a non-linear analysis of similarity between EEG recordings," NeuroReport, vol.10, pp. 2149-2155, 1999
23. L. D. Iasemidis, D.-S. Shiau, W. Chaovalitwongse, J. Sackellares, P. M. Pardalos, J. C. Principe, P. R. Carney, A. Prasad, B. Veeramani, and K. Tsakalis, "Adaptive epileptic seizure prediction system," IEEE Trans. Biomed. Eng., vol.50, no.5, pp. 616-627, May 2003
24. J. C. Sackellares, D.-S. Shiau, J. C. Principe, M. C. Yang, L. K. Dance, W. Suharitdamrong, W. Chaovalitwongse, P. M. Pardalos, and L. D. Iasemidis, "Predictability analysis for an automated seizure prediction algorithm," Expert. Syst. Appl., vol.23, no.6, pp. 509-520, 2006
25. H. Adeli, S. Ghosh-Dastidar, and N. Dadmehr, "A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy," IEEE Trans. Biomed. Eng., vol.54, no.2, pp. 205-211, Feb. 2007
26. S. Sabesan, N. Chakravarthy, K. Tsakalis, P. Pardalos, and L. Iasemidis, "Measuring resetting of brain dynamics at epileptic seizures: Application of global optimization and spatial synchronization techniques," J. Comb. Optim., vol.17, no.1, pp. 74-97, 2009
27. S. Ghosh-Dastidar, H. Adeli, and N. Dadmehr, "Mixed-band waveletchaos- neural network methodology for epilepsy and epileptic seizure detection," IEEE Trans. Biomed. Eng., vol.54, no.9, pp. 1545-1551, Sep. 2007
28. S. Ghosh-Dastidar, H. Adeli, and N. Dadmehr, "Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection," IEEE Trans. Biomed. Eng., vol.55, no.2, pp. 512-518, Feb. 2008
29. S. Mallat, A Wavelet Tour of Signal Processing. New York: Academic, 1999
30. D. B. Percival andA. T.Walden,Wavelet Methods for Time Series Analysis. Cambridge, U.K.: Cambridge Univ. Press, 2000
31. S. S. Spencer, P. Guimaraes, A. Katz, J. Kim, and D. Spencer, "Morphological patterns of seizures recorded intracranially," Epilepsia, vol.33, no.3, pp. 537-545, 1992
32. A. Shahidi Zandi, G. A. Dumont,M. Javidan, R. Tafreshi, B. A. MacLeod, C. R. Ries, and E. Puil, "A novel wavelet-based index to detect epileptic seizures using scalp EEG signals," in Proc. 30th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (EMBS), Aug. 2008, pp. 919-922
33. M. B. Connolly, F. W. Sharbrough, and P. K. Wong, "Electrical fields and recording technique," in Current Practice of Clinical Electroencephalography, 3rd ed., J. S. Ebersole and T. A. Pedley, Eds. Philadelphia, PA: Lippincott Williams & Wilkins, 2003, ch. 4
34. D. W. Scott, Multivariate Density Estimation: Theory, Practice, and Visualization. New York: Wiley, 1992
35. D.W. Scott, "On optimal and data-based histograms," Biometrika, vol.66, no.3, pp. 605-610, 1979
36. S. Kullback and R. A. Leibler, "On information and sufficiency," Ann. Math. Statist., vol.22, no.1, pp. 79-86, 1951
37. M. A. Dichter and G. F. Ayala, "Cellular mechanisms of epilepsy: A status report," Science, vol.237, pp. 157-164, 1987
38. Y. Yaari and H. Beck, "Epileptic neurons in temporal lobe epilepsy," Brain Pathol., vol.12, pp. 234-239, 2002
39. F. Mormann, T. Kreuz, R. G. Andrzejak, P. David, K. Lehnertz, and C. E. Elger, "Epileptic seizures are preceded by a decrease in synchronization," Epilepsy Res., vol.53, pp. 173-185, 2003
40. E. S. Page, "Continuous inspection schemes," Biometrika, vol.41, pp. 100-115, 1954
41. M. Basseville, "Detecting changes in signals and systems-A survey," Automatica, vol.24, no.3, pp. 309-326, 1988
42. G. V. Moustakides, "Optimal stopping times for detecting changes in distributions," Ann. Statist., vol.14, no.4, pp. 1379-1387, 1986
43. J. M. Lucas, "AmodifiedVmask control scheme," Technometrics, vol.15, no.4, pp. 833-847, 1973