Automatic seizure detection in SEEG using high frequency activities in wavelet domain

Medical Engineering and Physics

Volumn 35, Issue 3, 2013, Pages 319-328

  Ayoubian, L ^a   Lacoma, H ^a   Gotman, J ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Automatic seizure detection; EEG; EMG removal; Epilepsy; High frequency; Wavelet

Indexed keywords

ADAPTIVE THRESHOLDING; ARTIFACT REMOVAL; AUTOMATIC DETECTION; AUTOMATIC SEIZURE DETECTIONS; CLINICAL USE; EPILEPSY; EPILEPTIC PATIENTS; EPILEPTIC SEIZURES; FALSE DETECTIONS; HIGH FREQUENCY; HIGH SENSITIVITY; INTRACRANIAL EEG; REMOVAL ALGORITHMS; SEIZURE DETECTION; TESTING DATA; TRAINING DATA; WAVELET; WAVELET DOMAIN;

ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; WAVELET DECOMPOSITION;

FREQUENCY BANDS;

ARTICLE; ARTIFACT REDUCTION; CLINICAL ARTICLE; COMPUTER PROGRAM; CORRELATION ANALYSIS; DATA ANALYSIS; DIAGNOSTIC VALUE; ELECTROMYOGRAPHY; ENTROPY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FREQUENCY ANALYSIS; HUMAN; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; SEIZURE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STEREOELECTROENCEPHALOGRAPHY; WAVELET ANALYSIS;

ALGORITHMS; ARTIFACTS; AUTOMATION; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; EPILEPSY; FALSE POSITIVE REACTIONS; HUMANS; MUSCLES; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84874524192     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2012.05.005     Document Type: Article

References (36)

1. Hauser W.A., Annegers J.F., Rocca W.A. Descriptive epidemiology of epilepsy: contributions of population-based studies from Rochester, Minnesota. Mayo Clin Proc 1996, 71(6):576-586.
2. Kramer U., Kipervasser S., Shlitner A., Kuzniecky R. A novel portable seizure detection alarm system: preliminary results. J Clin Neurophysiol 2011, 28(1):36-38. 10.1097/WNP.0b013e3182051320.
3. Cockerell O.C., et al. Mortality from epilepsy: results from a prospective population-based study. Lancet 1994, 344(8927):918-921.
4. Gotman J. Automatic seizure detection: improvements and evaluation. Electroencephalogr Clin Neurophysiol 1990, 76(4):317-324.
5. Gotman J. Automatic detection of seizures and spikes. J Clin Neurophysiol: Off Publ Am Electroencephalogr Soc 1999, 16(2):130-140.
6. Jirsch J.D., et al. High-frequency oscillations during human focal seizures. Brain: J Neurol 2006, 129(Pt 6):1593-1608.
7. Zijlmans M., et al. Ictal and interictal high frequency oscillations in patients with focal epilepsy. Clin Neurophysiol: Off J Int Federation Clin Neurophysiol 2011, 122(4):664-671.
8. Bragin A., et al. High-frequency oscillations in human brain. Hippocampus 1999, 9(2):137-142.
9. Staba R.J., et al. Quantitative analysis of high-frequency oscillations (80-500Hz) recorded in human epileptic hippocampus and entorhinal cortex. J Neurophysiol 2002, 88(4):1743-1752.
10. Urrestarazu E., et al. Interictal high-frequency oscillations (100-500Hz) in the intracerebral EEG of epileptic patients. Brain: J Neurol 2007, 130(Pt 9):2354-2366.
11. Bagshaw A.P., et al. Effect of sleep stage on interictal high-frequency oscillations recorded from depth macroelectrodes in patients with focal epilepsy. Epilepsia 2009, 50(4):617-628.
12. Khosravani H., et al. Spatial localization and time-dependant changes of electrographic high frequency oscillations in human temporal lobe epilepsy. Epilepsia 2009, 50(4):605-616.
13. Liu A., et al. Detection of neonatal seizures through computerized EEG analysis. Electroencephalogr Clin Neurophysiol 1992, 82(1):30-37.
14. Gotman J., et al. Automatic seizure detection in the newborn: methods and initial evaluation. Electroencephalogr Clin Neurophysiol 1997, 103(3):356-362.
15. Grewal S., Gotman J. An automatic warning system for epileptic seizures recorded on intracerebral EEGs. Clin Neurophysiol: Off J Int Federation Clin Neurophysiol 2005, 116(10):2460-2472.
16. Kharbouch A., et al. An algorithm for seizure onset detection using intracranial EEG. EpilepsyBehav 2011, 22(Suppl 1(0)):S29-S35.
17. Qu H., Gotman J. 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 1997, 44(2):115-122.
18. Khan Y.U., Gotman J. Wavelet based automatic seizure detection in intracerebral electroencephalogram. Clin Neurophysiol: Off J Int Federation Clin Neurophysiol 2003, 114(5):898-908.
19. Subasi A. Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction. Comput Biol Med 2007, 37(2):227-244.
20. Subasi A., Erçelebi E. Classification of EEG signals using neural network and logistic regression. Comput Methods Programs Biomed 2005, 78(2):87-99.
21. Guo L., et al. Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks. J Neurosci Methods 2010, 191(1):101-109.
22. Ocak H. Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy. Expert Syst Appl 2009, 36(2):2027-2036.
23. Tzallas A.T., Tsipouras M.G., Fotiadis D.I. Epileptic seizure detection in EEGs using time frequency analysis. IEEE Trans Inf Technol Biomed 2009, 13(5):703-710.
24. Petrosian A., et al. Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG. Neurocomputing 2000, 30(1-4):201-218.
25. Kiymik M.K., Subasi A., Ozcali{dotless}k H.R. Neural networks with periodogram and autoregressive spectral analysis methods in detection of epileptic seizure. J Med Syst 2004, 28(6):511-522.
26. Nigam V.P., Graupe D. A neural-network-based detection of epilepsy. Neurol Res 2004, 26(1):55-60.
27. Sadati N., Mohseni H.R., Maghsoudi A. Epileptic seizure detection using neural fuzzy networks. IEEE international conference on fuzzy systems 2006.
28. Saab M.E., Gotman J. A system to detect the onset of epileptic seizures in scalp EEG. Clin Neurophysiol: Off J Int Federation Clin Neurophysiol 2005, 116(2):427-442.
29. Urrestarazu E., et al. High-frequency intracerebral EEG activity (100-500Hz) following interictal spikes. Epilepsia 2006, 47(9):1465-1476.
30. Jacobs J., et al. Interictal high-frequency oscillations (80-500Hz) are an indicator of seizure onset areas independent of spikes in the human epileptic brain. Epilepsia 2008, 49(11):1893-1907.
31. Khalilov I., et al. Epileptogenic actions of GABA and fast oscillations in the developing hippocampus. Neuron 2005, 48(5):787-796.
32. Pravin Kumar S., et al. Entropies based detection of epileptic seizures with artificial neural network classifiers. Expert Syst Appl 2010, 37(4):3284-3291.
33. Rosso O.A., et al. Wavelet entropy: a new tool for analysis of short duration brain electrical signals. J Neurosci Methods 2001, 105(1):65-75.
34. Otsubo H., et al. High-frequency oscillations of ictal muscle activity and epileptogenic discharges on intracranial EEG in a temporal lobe epilepsy patient. Clin Neurophysiol: Off J Int Federation Clin Neurophysiol 2008, 119(4):862-868.
35. LeVan P., Gotman J. Computer-assisted data collection and analysis. Epilepsy: a comprehensive textbook 2007, Lippincott Williams & Wilkins, Philadelphia. J. Engel, T.A. Pedley, J. Aicardi (Eds.).
36. Ochi A., et al. Dynamic changes of ictal high-frequency oscillations in neocortical epilepsy: using multiple band frequency analysis. Epilepsia 2007, 48(2):286-296.