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Volumn 60, Issue 12, 2013, Pages 3375-3381

Epileptic seizure detection using lacunarity and bayesian linear discriminant analysis in intracranial EEG

Author keywords

Bayesian linear discriminant analysis (BLDA); lacunarity; seizure detection; wavelet transform

Indexed keywords

AUTOMATIC SEIZURE DETECTIONS; EPILEPTIC SEIZURE DETECTION; FALSE DETECTIONS; HIGH SENSITIVITY; LACUNARITY; LINEAR DISCRIMINANT ANALYSIS; SEIZURE DETECTION; WAVELET COEFFICIENTS;

EID: 84889578073     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2254486     Document Type: Article
Times cited : (143)

References (33)
  • 1
    • 0037562843 scopus 로고    scopus 로고
    • Epileptic seizure prediction and control
    • May
    • L. D. Iasemidis, "Epileptic seizure prediction and control," IEEE Trans. Biomed. Eng., vol. 50, no. 5, pp. 549-558, May 2003.
    • (2003) IEEE Trans. Biomed. Eng. , vol.50 , Issue.5 , pp. 549-558
    • Iasemidis, L.D.1
  • 3
    • 82255179229 scopus 로고    scopus 로고
    • A tunable support vector machine assembly classifier for epileptic seizure detection
    • Y. Tang and D. M. Durand, "A tunable support vector machine assembly classifier for epileptic seizure detection," Expert Syst. Appl., vol. 39, pp. 3925-3938, 2012.
    • (2012) Expert Syst. Appl. , vol.39 , pp. 3925-3938
    • Tang, Y.1    Durand, D.M.2
  • 5
    • 0031029383 scopus 로고    scopus 로고
    • A patient-specific algorithm for the detection of seizure onset in long-term EEG monitoring: Possible use as a warning device
    • Feb.
    • 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, no. 2, pp. 115-122, Feb. 1997.
    • (1997) IEEE Trans. Biomed. Eng. , vol.44 , Issue.2 , pp. 115-122
    • Qu, H.1    Gotman, J.2
  • 7
    • 34248567678 scopus 로고    scopus 로고
    • Approximate entropy-based epileptic EEG detection using artificial neural networks
    • DOI 10.1109/TITB.2006.884369
    • 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, 2007. (Pubitemid 46758846)
    • (2007) IEEE Transactions on Information Technology in Biomedicine , vol.11 , Issue.3 , pp. 288-295
    • Srinivasan, V.1    Eswaran, C.2    Sriraam, N.3
  • 8
    • 84864293306 scopus 로고    scopus 로고
    • Epileptic seizure detection with linear and nonlinear features
    • Q. Yuan, W. Zhou, Y. Liu, and J. Wang, "Epileptic seizure detection with linear and nonlinear features," Epilepsy Behavior, vol. 24, pp. 415-421, 2012.
    • (2012) Epilepsy Behavior , vol.24 , pp. 415-421
    • Yuan, Q.1    Zhou, W.2    Liu, Y.3    Wang, J.4
  • 10
    • 0034846306 scopus 로고    scopus 로고
    • Fractal signature and lacunarity in the measurement of the texture of trabecular bone in clinical CT images
    • DOI 10.1016/S1350-4533(01)00057-1, PII S1350453301000571
    • G. Dougherty and G. M. Henebry, "Fractal signature and lacunarity in the measurement of the texture of trabecular bone in clinical CT images," Med. Eng. Phys., vol. 23, pp. 369-380, 2001. (Pubitemid 32823381)
    • (2001) Medical Engineering and Physics , vol.23 , Issue.6 , pp. 369-380
    • Dougherty, G.1    Henebry, G.M.2
  • 11
    • 0017091353 scopus 로고
    • Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG
    • J. Gotman and P. Gloor, "Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG," Electroenceph. Clin. Neurophysiol., vol. 41, pp. 513-529, 1976.
    • (1976) Electroenceph. Clin. Neurophysiol. , vol.41 , pp. 513-529
    • Gotman, J.1    Gloor, P.2
  • 12
    • 0038398958 scopus 로고    scopus 로고
    • Wavelet based automatic seizure detection in intracerebral electroencephalogram
    • DOI 10.1016/S1388-2457(03)00035-X
    • Y. U. Khan and J. Gotman, "Wavelet based automatic seizure detection in intracerebral electroencephalogram," Clin. Neurophysiol., vol. 114, pp. 898-908, 2003. (Pubitemid 36556101)
    • (2003) Clinical Neurophysiology , vol.114 , Issue.5 , pp. 898-908
    • Khan, Y.U.1    Gotman, J.2
  • 13
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • S. G. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, no. 7, pp. 674-693, 1989.
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 14
    • 0037441741 scopus 로고    scopus 로고
    • Analysis of EEG records in an epileptic patient using wavelet transform
    • DOI 10.1016/S0165-0270(02)00340-0, PII S0165027002003400
    • H. Adeli, Z. Zhou, and N. Dadmehr, "Analysis of EEG records in an epileptic patient using wavelet transform," J. Neurosci. Methods, vol. 123, pp. 69-87, 2003. (Pubitemid 36173654)
    • (2003) Journal of Neuroscience Methods , vol.123 , Issue.1 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 15
    • 0031858128 scopus 로고    scopus 로고
    • Seizure detection using a self-organizing neural network: Validation and comparison with other detection strategies
    • DOI 10.1016/S0013-4694(98)00043-1, PII S0013469498000431
    • A. J. Gabor, "Seizure detection using a self-organizing neural network: validation and comparison with other detection strategies," Electroenceph. Clin. Neurophysiol., vol. 107, pp. 27-32, 1998. (Pubitemid 28343459)
    • (1998) Electroencephalography and Clinical Neurophysiology , vol.107 , Issue.1 , pp. 27-32
    • Gabor, A.J.1
  • 16
    • 0027981821 scopus 로고
    • Practical detection of epileptiform discharges (EDs) in the EEG using an artificial neural network: A comparison of raw and parameterized EEG data
    • DOI 10.1016/0013-4694(94)90069-8
    • W. R. Webber, B. Litt, K. Wilson, and R. P. Lesser, "Practical detection of epileptiform discharges (EDs) in the EEG using an artificial neural network: A comparison of raw and parameterized EEG data," Electroenceph. Clin. Neurophysiol., vol. 91, pp. 194-204, 1994. (Pubitemid 24285313)
    • (1994) Electroencephalography and Clinical Neurophysiology , vol.91 , Issue.3 , pp. 194-204
    • Webber, W.R.S.1    Litt, B.2    Wilson, K.3    Lesser, R.P.4
  • 17
    • 77957830692 scopus 로고    scopus 로고
    • EEG signal classification using PCA, ICA, LDA and support vector machines
    • A. Subasi and M. I. Gursoy, "EEG signal classification using PCA, ICA, LDA and support vector machines," Expert Syst. Appl., vol. 37, no. 12, pp. 8659-8666, 2010.
    • (2010) Expert Syst. Appl. , vol.37 , Issue.12 , pp. 8659-8666
    • Subasi, A.1    Gursoy, M.I.2
  • 18
    • 36549023890 scopus 로고    scopus 로고
    • An efficient P300-based brain-computer interface for disabled subjects
    • DOI 10.1016/j.jneumeth.2007.03.005, PII S0165027007001094, Brain-Computer Interface (BCIs)
    • U. Hoffmann, J. Vesin, T. Ebrahimi, and K. Diserens, "An efficient P300-based brain-computer interface for disabled subjects," J. Neurosci. Methods, vol. 67, pp. 115-125, 2008. (Pubitemid 350180084)
    • (2008) Journal of Neuroscience Methods , vol.167 , Issue.1 , pp. 115-125
    • Hoffmann, U.1    Vesin, J.-M.2    Ebrahimi, T.3    Diserens, K.4
  • 19
    • 74549222346 scopus 로고    scopus 로고
    • An empirical Bayesian framework for brain-computer interfaces
    • Dec.
    • X. Lei, P. Yang, and D. Z. Yao, "An empirical Bayesian framework for brain-computer interfaces," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 17, no. 6, pp. 521-529, Dec. 2009.
    • (2009) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.17 , Issue.6 , pp. 521-529
    • Lei, X.1    Yang, P.2    Yao, D.Z.3
  • 22
    • 0029446252 scopus 로고
    • A seizure warning system for long-term epilepsy monitoring
    • H. Qu and J. Gotman, "A seizure warning system for long-term epilepsy monitoring," Clin. Neurophysiol., vol. 45, no. 12, pp. 2250-2254, 1995. (Pubitemid 27100257)
    • (1995) Neurology , vol.45 , Issue.12 , pp. 2250-2254
    • Qu, H.1    Gotman, J.2
  • 23
    • 80255123396 scopus 로고    scopus 로고
    • Partial discharge pattern recognition of power cable joints using extension method with fractal feature enhancement
    • F. C. Gu, H. C. Chang, F. H. Chen, and C. C. Kuo, "Partial discharge pattern recognition of power cable joints using extension method with fractal feature enhancement," Expert Syst. Appl., vol. 39, pp. 2804-2812, 2012.
    • (2012) Expert Syst. Appl. , vol.39 , pp. 2804-2812
    • Gu, F.C.1    Chang, H.C.2    Chen, F.H.3    Kuo, C.C.4
  • 24
    • 78751613317 scopus 로고    scopus 로고
    • EEGbased neonatal seizure detection with Support Vector Machines
    • A. Temko, E. Thomas,W.Marnane, G. Lightbody, and G. Boylan, "EEGbased neonatal seizure detection with Support Vector Machines," Clin. Neurophysiol., vol. 122, no. 3, pp. 464-473, 2011.
    • (2011) Clin. Neurophysiol. , vol.122 , Issue.3 , pp. 464-473
    • Temko, A.1    Thomas, E.2    Marnane, W.3    Lightbody, G.4    Boylan, G.5
  • 25
    • 12344300348 scopus 로고    scopus 로고
    • A system to detect the onset of epileptic seizures in scalp EEG
    • DOI 10.1016/j.clinph.2004.08.004, PII S1388245704003098
    • M. E. Saab and J. Gotman, "A system to detect the onset of epileptic seizures in scalp EEG," Clin. Neurophysiol., vol. 116, no. 2, pp. 427-442, 2005. (Pubitemid 40126946)
    • (2005) Clinical Neurophysiology , vol.116 , Issue.2 , pp. 427-442
    • Saab, M.E.1    Gotman, J.2
  • 28
    • 33846638294 scopus 로고    scopus 로고
    • Seizure prediction: The long and winding road
    • DOI 10.1093/brain/awl241
    • F. Mormann, R. G. Andrzejak, C. E. Elger, and K. Lehnertz, "Seizure prediction: The long and winding road," Brain, vol. 130, no. 2, pp. 314-333, 2007. (Pubitemid 46181087)
    • (2007) Brain , vol.130 , Issue.2 , pp. 314-333
    • Mormann, F.1    Andrzejak, R.G.2    Elger, C.E.3    Lehnertz, K.4
  • 29
    • 69549116488 scopus 로고    scopus 로고
    • A fuzzy rule-based system for epileptic seizure detection in intracranial EEG
    • A. Aarabi, R. Fazel-Rezai, and Y. Aghakhani, "A fuzzy rule-based system for epileptic seizure detection in intracranial EEG," Clin. Neurophysiol., vol. 120, pp. 1648-1657, 2009.
    • (2009) Clin. Neurophysiol. , vol.120 , pp. 1648-1657
    • Aarabi, A.1    Fazel-Rezai, R.2    Aghakhani, Y.3
  • 30
    • 80051745063 scopus 로고    scopus 로고
    • Automatic seizure detection in ECoG by differential operator and windowed variance
    • Aug.
    • K. K. Majumdar and P.Vardhan, "Automatic seizure detection in ECoG by differential operator and windowed variance," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 19, no. 4, pp. 356-365, Aug. 2011.
    • (2011) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.19 , Issue.4 , pp. 356-365
    • Majumdar, K.K.1    Vardhan, P.2
  • 31
    • 83455164939 scopus 로고    scopus 로고
    • Multistage seizure detection techniques optimized for low-power hardware platforms
    • S. Raghunathan, A. Jaitli, and P. P. Irazoqui, "Multistage seizure detection techniques optimized for low-power hardware platforms," Epilepsy Behavior, vol. 22, pp. S61-S68, 2011.
    • (2011) Epilepsy Behavior , vol.22
    • Raghunathan, S.1    Jaitli, A.2    Irazoqui, P.P.3
  • 32
    • 79952314538 scopus 로고    scopus 로고
    • Improved patient specific seizure detection during pre-surgical evaluation
    • E. Chua, K. Patel, M. Fitzsimons, and C. J. Bleakley, "Improved patient specific seizure detection during pre-surgical evaluation," Clin. Neurophysiol., vol. 122, pp. 672-679, 2011.
    • (2011) Clin. Neurophysiol. , vol.122 , pp. 672-679
    • Chua, E.1    Patel, K.2    Fitzsimons, M.3    Bleakley, C.J.4
  • 33
    • 84859767918 scopus 로고    scopus 로고
    • A fuzzy logic system for seizure onset detection in intracranial EEG
    • A. F. Rabbi and R. Fazel-Rezai, "A fuzzy logic system for seizure onset detection in intracranial EEG," Comput. Intell. Neurosci., vol. 2012, pp. 1-12, 2012.
    • (2012) Comput. Intell. Neurosci. , vol.2012 , pp. 1-12
    • Rabbi, A.F.1    Fazel-Rezai, R.2


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