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Volumn 33, Issue 6, 2013, Pages 526-537

Review: A survey of performance and techniques for automatic epilepsy detection

Author keywords

Epilepsy; Performance; Seizure detection algorithm

Indexed keywords

ELECTROENCEPHALOGRAM SIGNALS; EMPIRICAL MODE DECOMPOSITION; EPILEPSY; EPILEPTIC SEIZURE DETECTION; NEUROLOGICAL DISORDERS; PERFORMANCE; PERFORMANCE COMPARISON; SEIZURE DETECTION;

EID: 84891599531     PISSN: 16090985     EISSN: None     Source Type: Journal    
DOI: 10.5405/jmbe.1463     Document Type: Review
Times cited : (77)

References (93)
  • 1
    • 84891617325 scopus 로고    scopus 로고
    • World Health Organization
    • World Health Organization, 2011. Available: http://www.who.int /mediacentre/?factsheets/fs999/en/.
    • (2011)
  • 2
    • 0032962246 scopus 로고    scopus 로고
    • Automatic detection of seizures and spikes
    • J. Gotman, "Automatic detection of seizures and spikes," J. Clin. Neurophysiol., 16: 130-140, 1999.
    • (1999) J. Clin. Neurophysiol. , vol.16 , pp. 130-140
    • Gotman, J.1
  • 4
    • 1642513779 scopus 로고    scopus 로고
    • Brain stimulation for epilepsy
    • W Theodore and R. S. Fisher, "Brain stimulation for epilepsy," Lancet Neurol., 3: 111-118, 2004.
    • (2004) Lancet Neurol. , vol.3 , pp. 111-118
    • Theodore, W.1    Fisher, R.S.2
  • 5
    • 36249012544 scopus 로고    scopus 로고
    • Changes of EEG synchronization during low-frequency electric stimulation of the seizure onset zone
    • K. Schindler, C. E. Elger and K. Lehnertz, "Changes of EEG synchronization during low-frequency electric stimulation of the seizure onset zone," Epilepsy Res., 77: 108-119, 2007.
    • (2007) Epilepsy Res. , vol.77 , pp. 108-119
    • Schindler, K.1    Elger, C.E.2    Lehnertz, K.3
  • 6
    • 70350620967 scopus 로고    scopus 로고
    • Real-time detection, quantification, warning, and control of epileptic seizures: The foundations for a scientific epileptology
    • I. Osorio and M. Frei, "Real-time detection, quantification, warning, and control of epileptic seizures: The foundations for a scientific epileptology," Epilepsy Behav., 16: 391-396, 2009.
    • (2009) Epilepsy Behav. , vol.16 , pp. 391-396
    • Osorio, I.1    Frei, M.2
  • 8
    • 0037562843 scopus 로고    scopus 로고
    • Epileptic seizure prediction and control
    • L. D. Iasemidis, "Epileptic seizure prediction and control," IEEE Trans. Biomed. Eng., 50: 549-558, 2003.
    • (2003) IEEE Trans. Biomed. Eng. , vol.50 , pp. 549-558
    • Iasemidis, L.D.1
  • 9
    • 54949102169 scopus 로고    scopus 로고
    • Seizure prediction
    • J. C. Sackellares, "Seizure prediction," Epilepsy Curr., 8: 55-59, 2008.
    • (2008) Epilepsy Curr. , vol.8 , pp. 55-59
    • Sackellares, J.C.1
  • 13
    • 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., 120: 1648-1657, 2009.
    • (2009) Clin. Neurophysiol. , vol.120 , pp. 1648-1657
    • Aarabi, A.1    Fazel-Rezai, R.2    ghakhani, Y.3
  • 14
    • 33846672121 scopus 로고    scopus 로고
    • A Wavelet- Chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy
    • 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., 54: 205-211, 2007.
    • (2007) IEEE Trans. Biomed. Eng. , vol.54 , pp. 205-211
    • Adeli, H.1    Ghosh-Dastidar, S.2    Dadmehr, N.3
  • 16
    • 33846909015 scopus 로고    scopus 로고
    • Removal of ocular artifacts from EEG: A comparison of adaptive filtering method and regression method using simulated data
    • P. He, M. Kahle, G. Wilson and C. Russell, "Removal of ocular artifacts from EEG: A comparison of adaptive filtering method and regression method using simulated data," Conf. Proc. IEEE Eng. Med. Biol. Soc., 2: 1110-1113, 2005.
    • (2005) Conf. Proc. IEEE Eng. Med. Biol. Soc. , vol.2 , pp. 1110-1113
    • He, P.1    Kahle, M.2    Wilson, G.3    Russell, C.4
  • 17
    • 70349379796 scopus 로고    scopus 로고
    • An adaptive method to remove ocular artifacts from EEG signals using Wavelet transform
    • P. Senthil Kumar, R. Arumuganathan and C. Vimal, "An adaptive method to remove ocular artifacts from EEG signals using Wavelet transform," J. Appl. Sci. Res., 5: 741-745, 2009.
    • (2009) J. Appl. Sci. Res. , vol.5 , pp. 741-745
    • Senthil Kumar, P.1    Arumuganathan, R.2    Vimal, C.3
  • 22
    • 77955054723 scopus 로고    scopus 로고
    • Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks
    • L. Guo, D. Rivero, J. Dorado, J. R. Rabunal and A. Pazos, "Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks," J. Neurosci. Methods, 191: 101-109, 2010.
    • (2010) J. Neurosci. Methods , vol.191 , pp. 101-109
    • Guo, L.1    Rivero, D.2    Dorado, J.3    Rabunal, J.R.4    Pazos, A.5
  • 23
    • 80052836687 scopus 로고    scopus 로고
    • Epileptic EEG classification based on extreme learning machine and nonlinear features
    • Q. Yuan, W. Zhou, S. Li and D. Cai, "Epileptic EEG classification based on extreme learning machine and nonlinear features," Epilepsy Res., 96: 29-38, 2011.
    • (2011) Epilepsy Res. , vol.96 , pp. 29-38
    • Yuan, Q.1    Zhou, W.2    Li, S.3    Cai, D.4
  • 25
    • 44649182792 scopus 로고    scopus 로고
    • Detecting epileptic seizures in long-term human EEG: A new approach to automatic online and real-time detection and classification of polymorphic seizure patterns
    • 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., 25: 119-131, 2008.
    • (2008) J. Clin. Neurophysiol. , vol.25 , pp. 119-131
    • Meier, R.1    Dittrich, H.2    Schulze-Bonhage, A.3    Aertsen, A.4
  • 26
    • 77953363625 scopus 로고    scopus 로고
    • Patient- specific early seizure detection from scalp EEG"
    • G R. Minasyan, J. B. Chatten and R. N. Hamer, "Patient- specific early seizure detection from scalp EEG" J. Clin. Neurophysiol., 27: 163-178, 2010.
    • (2010) J. Clin. Neurophysiol. , vol.27 , pp. 163-178
    • Minasyan, G.R.1    Chatten, J.B.2    Hamer, R.N.3
  • 27
    • 34247217946 scopus 로고    scopus 로고
    • Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
    • K. Polat and S. Gunes, "Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform," Appl. Math. Comput., 187: 1017-1026, 2007.
    • (2007) Appl. Math. Comput. , vol.187 , pp. 1017-1026
    • Polat, K.1    Gunes, S.2
  • 28
    • 56349116249 scopus 로고    scopus 로고
    • Automated seizure onset detection for accurate onset Time Determination in Intracranial EEG
    • A. M. Chan, F. T. Sun, E. H. Boto and B. M. Wingeier, "Automated seizure onset detection for accurate onset Time Determination in Intracranial EEG;" Clin. Neurophysiol. 119: 2687-2696, 2008.
    • (2008) Clin. Neurophysiol. , vol.119 , pp. 2687-2696
    • Chan, A.M.1    Sun, F.T.2    Boto, E.H.3    Wingeier, B.M.4
  • 30
    • 0031858128 scopus 로고    scopus 로고
    • Seizure detection using a self-organizing neural network: validation and comparison with other detection strategies
    • A. J. Gabor, "Seizure detection using a self-organizing neural network: validation and comparison with other detection strategies," Electroencephalogr. Clin. Neurophysiol. , 107: 27-32, 1998.
    • (1998) Electroencephalogr. Clin. Neurophysiol. , vol.107 , pp. 27-32
    • Gabor, A.J.1
  • 32
    • 38749083808 scopus 로고    scopus 로고
    • Automatic seizure detection based on time-frequency analysis and artificial neural networks
    • A. T. Tzallas, M. G. Tsipouras and D. I. Fotiadis, "Automatic seizure detection based on time-frequency analysis and artificial neural networks," Comput. Intell. Neurosci., 80510, 2007.
    • (2007) Comput. Intell. Neurosci. , pp. 80510
    • Tzallas, A.T.1    Tsipouras, M.G.2    Fotiadis, D.I.3
  • 33
    • 26944458497 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
    • I. Guler and I. G Ubeyli, "Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients," J. Neurosci. Methods, 148: 113-121, 2005.
    • (2005) J. Neurosci. Methods , vol.148 , pp. 113-121
    • Guler and, I.1    Ubeyli, I.G.2
  • 34
    • 33751396389 scopus 로고    scopus 로고
    • EEG signal classification using wavelet feature extraction and a mixture of expert model
    • A. Subasi, "EEG signal classification using wavelet feature extraction and a mixture of expert model," ExpertSyst. Appl., 32: 1084-1093, 2007.
    • (2007) ExpertSyst. Appl. , vol.32 , pp. 1084-1093
    • Subasi, A.1
  • 35
    • 77956064562 scopus 로고    scopus 로고
    • Seizure detection in temporal lobe Epileptic EEGs using the best basis Wavelet functions
    • B. Abibullaev, M. S. Kim and H. D. Seo, "Seizure detection in temporal lobe Epileptic EEGs using the best basis Wavelet functions," J. Med. Syst., 34: 755-765, 2010.
    • (2010) J. Med. Syst. , vol.34 , pp. 755-765
    • Abibullaev, B.1    Kim, M.S.2    Seo, H.D.3
  • 38
    • 57049095978 scopus 로고    scopus 로고
    • Unsupervised multiway data analysis: A literature survey
    • E. Acar and B. Yener, "Unsupervised multiway data analysis: A literature survey," IEEE Trans. Knowl. Data Eng., 21: 6-20,2009.
    • (2009) IEEE Trans. Knowl. Data Eng. , vol.21 , pp. 6-20
    • Acar, E.1    Yener, B.2
  • 42
    • 56549122554 scopus 로고    scopus 로고
    • Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks
    • E. D. Ubeyli, "Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks," Digit. Signal Prog., 19: 134-143, 2009.
    • (2009) Digit. Signal Prog. , vol.19 , pp. 134-143
    • Ubeyli, E.D.1
  • 44
    • 0020382517 scopus 로고
    • Automatic recognition of epileptic seizures in the EEG
    • J. Gotman, "Automatic recognition of epileptic seizures in the EEG;" Electroencephalogr. Clin. Neurophysiol. 54: 530-540, 1982.
    • (1982) Electroencephalogr. Clin. Neurophysiol , vol.54 , pp. 530-540
    • Gotman, J.1
  • 45
    • 0025049825 scopus 로고
    • Automatic seizure detection: Improvements and evaluation
    • J. Gotman, "Automatic seizure detection: Improvements and evaluation," Electroencephalogr. Clin. Neurophysiol., 76: 317-324, 1990.
    • (1990) Electroencephalogr. Clin. Neurophysiol. , vol.76 , pp. 317-324
    • Gotman, J.1
  • 46
    • 12344300348 scopus 로고    scopus 로고
    • A system to detect the onset of epileptic seizures in scalp EEG
    • M. E. Saab and J. Gotman, "A system to detect the onset of epileptic seizures in scalp EEG," Clin. Neurophysiol., 116: 427-442, 2005.
    • (2005) Clin. Neurophysiol. , vol.116 , pp. 427-442
    • Saab, M.E.1    Gotman, J.2
  • 47
    • 80053348045 scopus 로고    scopus 로고
    • Automatic detection of epileptic EEG signals using higher order cumulant features
    • U. R. Acharya, S. V. Sree and J. S. Suri, "Automatic detection of epileptic EEG signals using higher order cumulant features," Int. J. Neural. Syst., 21: 403-414, 2011.
    • (2011) Int. J. Neural. Syst. , vol.21 , pp. 403-414
    • Acharya, U.R.1    Sree, S.V.2    Suri, J.S.3
  • 48
    • 61849108243 scopus 로고    scopus 로고
    • Automatic identification of epilepsy by HOS and power spectrum parameters using EEG signals: A comparative study
    • K. C. Chua, V. Chandran, U. R. Acharya and C. M. Lim, "Automatic identification of epilepsy by HOS and power spectrum parameters using EEG signals: A comparative study," Conf. Proc. IEEE Eng. Med. Biol. Soc., 3824-3827, 2008.
    • (2008) Conf. Proc. IEEE Eng. Med. Biol. Soc. , pp. 3824-3827
    • Chua, K.C.1    Chandran, V.2    Acharya, U.R.3    Lim, C.M.4
  • 49
    • 84856227784 scopus 로고    scopus 로고
    • Application of higher order spectra to identify epileptic EEG
    • K. C. Chua, V. Chandran, U. R. Acharya and C. M. Lim, "Application of higher order spectra to identify epileptic EEG," J. Med. Syst., 35: 1563-1571, 2011.
    • (2011) J. Med. Syst. , vol.35 , pp. 1563-1571
    • Chua, K.C.1    Chandran, V.2    Acharya, U.R.3    Lim, C.M.4
  • 50
    • 84864031840 scopus 로고    scopus 로고
    • Classification of epilepsy using high-order spectra features and principle component analysis
    • X. Du, S. Dua, U. R. Acharya and K. C. Chua, "Classification of epilepsy using high-order spectra features and principle component analysis," J. Med. Syst., 36: 1731-1743, 2012.
    • (2012) J. Med. Syst. , vol.36 , pp. 1731-1743
    • Du, X.1    Dua, S.2    Acharya, U.R.3    Chua, K.C.4
  • 51
    • 32444446490 scopus 로고    scopus 로고
    • Automated neonatal seizure detection: A multistage classification system through feature selection based on relevance and redundancy analysis
    • A. Aarabi, F. Wallois and R. Grebe, "Automated neonatal seizure detection: A multistage classification system through feature selection based on relevance and redundancy analysis," Clin. Neurophysiol., 117: 328-340, 2006.
    • (2006) Clin. Neurophysiol. , vol.117 , pp. 328-340
    • Aarabi, A.1    Wallois, F.2    Grebe, R.3
  • 52
    • 84891615051 scopus 로고    scopus 로고
    • Epileptic seizures detection based on empirical mode decomposition of EEG signals
    • in:Prof. Mintaze Kerem Gunel (Ed.),IN-TEcH Publishing,Austria
    • L. Orosco, A. Garces Correa and E. Laciar Leber, "Epileptic seizures detection based on empirical mode decomposition of EEG signals," in:Prof. Mintaze Kerem Gunel (Ed.), Management of Epilepsy-Research, Results and Treatment, 3-20, Austria: IN-TEcH Publishing, 2011.
    • (2011) Management of Epilepsy-Research, Results and Treatment , pp. 3-20
    • Orosco, L.1    Garces Correa, A.2    Laciar Leber, E.3
  • 54
    • 22144480299 scopus 로고    scopus 로고
    • Epileptic seizure detection using dynamic wavelet network
    • A. Subasi, "Epileptic seizure detection using dynamic wavelet network," Expert Syst. Appl., 29: 343-355, 2005.
    • (2005) Expert Syst. Appl. , vol.29 , pp. 343-355
    • Subasi, A.1
  • 55
    • 33646135537 scopus 로고    scopus 로고
    • Automatic detection of epileptic seizure using dynamic fuzzy neural networks
    • A. Subasi, "Automatic detection of epileptic seizure using dynamic fuzzy neural networks," Expert Syst. Appl., 31: 320-328, 2006.
    • (2006) Expert Syst. Appl. , vol.31 , pp. 320-328
    • Subasi, A.1
  • 56
    • 84891600132 scopus 로고    scopus 로고
    • Automatic detection of seizure onset in pediatric EEQ
    • Y. U. Khan, O. Farooq and P. Sharma, "Automatic detection of seizure onset in pediatric EEQ" Int. J. Emb. Syst. Appl., 2: 81-89, 2012.
    • (2012) Int. J. Emb. Syst. Appl. , vol.2 , pp. 81-89
    • Khan, Y.U.1    Farooq, O.2    Sharma, P.3
  • 58
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
    • N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung and H. H. Liu, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proc. R. Soc. Lond. A, 454: 903-995, 1998.
    • (1998) Proc. R. Soc. Lond. A , vol.454 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3    Wu, M.C.4    Shih, H.H.5    Zheng, Q.6    Yen, N.C.7    Tung, C.C.8    Liu, H.H.9
  • 59
    • 79956288045 scopus 로고    scopus 로고
    • Seizure classification in EEG signals utilizing Hilbert-Huang transform
    • R. J. Oweis and E. W. Abdulhay, "Seizure classification in EEG signals utilizing Hilbert-Huang transform," Biomed. Eng. Online, 10: 38, 2011.
    • (2011) Biomed. Eng. Online , vol.10 , pp. 38
    • Oweis, R.J.1    Abdulhay, E.W.2
  • 60
    • 84880995411 scopus 로고    scopus 로고
    • Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals
    • V. Bajaj and R. B. Pachori, "Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals," Biomed. Eng. Lett., 3:17-21, 2013.
    • (2013) Biomed. Eng. Lett. , vol.3 , pp. 7-21
    • Bajaj, V.1    Pachori, R.B.2
  • 63
    • 79960037752 scopus 로고    scopus 로고
    • Application of recurrence quantification analysis for the automated identification of epileptic EEG signals
    • U. R. Acharya, S. V. Sree, S. Chattopadhyay, W. Yu and P. C. Ang, "Application of recurrence quantification analysis for the automated identification of epileptic EEG signals," Int. J. Neural Syst. 21: 199-211, 2011.
    • (2011) Int. J. Neural Syst. , vol.21 , pp. 199-211
    • Acharya, U.R.1    Sree, S.V.2    Chattopadhyay, S.3    Yu, W.4    Ang, P.C.5
  • 65
    • 0001263361 scopus 로고
    • Approximate entropy (ApEn) as a complexity measure
    • S. M. Pincus, "Approximate entropy (ApEn) as a complexity measure," Int. J. Bifurcation Chaos, 5: 110-117, 1991.
    • (1991) Int. J. Bifurcation Chaos , vol.5 , pp. 110-117
    • Pincus, S.M.1
  • 69
  • 71
    • 56349101801 scopus 로고    scopus 로고
    • Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
    • H. Ocak, "Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy," Expert Syst. Appl., 36: 2027-2036, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 2027-2036
    • Ocak, H.1
  • 72
    • 58549111381 scopus 로고    scopus 로고
    • Combined neural network model employing wavelet coefficients for EEG signals classification
    • E. D. Ubeyli, "Combined neural network model employing wavelet coefficients for EEG signals classification," Digit. Signal Prog., 19: 297-308, 2009.
    • (2009) Digit. Signal Prog. , vol.19 , pp. 297-308
    • Ubeyli, E.D.1
  • 73
    • 56349123198 scopus 로고    scopus 로고
    • Decision support systems for time-varying biomedical signals: EEG signals classification
    • E. D. Ubeyli, "Decision support systems for time-varying biomedical signals: EEG signals classification," Expert Syst. Appl., 36: 2275-2284, 2009.
    • (2009) Expert Syst. Appl. , vol.36 , pp. 2275-2284
    • Ubeyli, E.D.1
  • 74
    • 84885157742 scopus 로고    scopus 로고
    • xsDetection of seizure and epilepsy using higher order statistics in the EMD domain
    • S. M. Shafiul Alam and M. I. H. Bhuiyan, "Detection of seizure and epilepsy using higher order statistics in the EMD domain," IEEE J. Biomed. Health Inform., 17: 312-318, 2013.
    • (2013) IEEE J. Biomed. Health Inform. , vol.17 , pp. 312-318
    • Alam, S.M.S.1    Bhuiyan, M.I.H.2
  • 75
    • 84879998904 scopus 로고    scopus 로고
    • Automatic feature extraction using generalized autoregressive conditional heteroscedasticity model:an application to electroencephalogram classification
    • S. Mihandoost M. Amirani1 M. Mazlaghani A. Mihandoost,"Automatic feature extraction using generalized autoregressive conditional heteroscedasticity model: an application to electroencephalogram classification," IET Signal Process., 6: 829-838, 2012.
    • (2012) IET Signal Process. , vol.6 , pp. 829-838
    • Mihandoost, S.1    Amirani1, M.2    Mazlaghani, M.3    Mihandoost, A.4
  • 77
    • 79957981604 scopus 로고    scopus 로고
    • EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
    • U. Orhan, M. Hekim and M. Ozer, "EEG signals classification using the K-means clustering and a multilayer perceptron neural network model," Expert Syst. Appl., 38: 13475-13481, 2011.
    • (2011) Expert Syst. Appl. , vol.38 , pp. 13475-13481
    • Orhan, U.1    Hekim, M.2    Ozer, M.3
  • 78
    • 37649022335 scopus 로고    scopus 로고
    • Application of a multivariate seizure detection and prediction method to non-invasive and intracranial long-term EEG recordings
    • A. Schad, K. Schindler, B. Schelter, A. Brandt, T. Maiwald, J. Timmer and A. Schulze-Bonhage, "Application of a multivariate seizure detection and prediction method to non-invasive and intracranial long-term EEG recordings," Clin. Neurophysiol. 119: 197-211, 2008.
    • (2008) Clin. Neurophysiol , vol.119 , pp. 197-211
    • Schad, A.1    Schindler, K.2    Schelter, B.3    Brandt, A.4    Maiwald, T.5    Timmer, J.6    Schulze-Bonhage, A.7
  • 79
    • 34047116441 scopus 로고    scopus 로고
    • Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings
    • A. B. Gardner, G. Worrell, A. E. Marsh, D. Dlugos and B. Litt, "Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings," Clin. Neurophysiol., 118: 1134-1143, 2007.
    • (2007) Clin. Neurophysiol. , vol.118 , pp. 1134-1143
    • Gardner, A.B.1    Worrell, G.2    Marsh, A.E.3    Dlugos, D.4    Litt, B.5
  • 80
    • 77953788429 scopus 로고    scopus 로고
    • Automated real-time epileptic seizure detection in scalp EEG recordings using an algorithm based on wavelet packet transform
    • A. Zandi, M. Javidan, G. A. Dumont and R. Tafreshi, "Automated real-time epileptic seizure detection in scalp EEG recordings using an algorithm based on wavelet packet transform," IEEE Trans. Biomed. Eng., 57: 1639-1651, 2010.
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , pp. 1639-1651
    • Zandi, A.1    Javidan, M.2    Dumont, G.A.3    Tafreshi, R.4
  • 81
    • 77951654265 scopus 로고    scopus 로고
    • Interictal EEG spikes identify the region of electrographic seizure onset in some but not all pediatric epilepsy patients
    • E. D. Marsh, B. Peltzer, M. W. Brown III, C. Wusthoff, P. B. Storm Jr., B. Litt and B. E. Porter, "Interictal EEG spikes identify the region of electrographic seizure onset in some, but not all, pediatric epilepsy patients," Epilepsia, 51: 592-601, 2010.
    • (2010) Epilepsia , vol.51 , pp. 592-601
    • Marsh, E.D.1    Peltzer, B.2    Brown, M.W.3    Wusthoff, C.4    Storm, P.B.5    Litt, B.6    Porter, B.E.7
  • 82
    • 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 Behav., 22: S61-S68, 2011.
    • (2011) Epilepsy Behav. , vol.22
    • Raghunathan, S.1    Jaitli, A.2    Irazoqui, P.P.3
  • 83
    • 33745235087 scopus 로고    scopus 로고
    • One-class novelty detection for seizure analysis from intracranial EEG
    • A. B. Gardner, A. M. Krieger, G. Vachtsevanos and B. Litt, "One-class novelty detection for seizure analysis from intracranial EEG" J. Mach. Learn Res., 7: 1025-1044, 2006.
    • (2006) J. Mach. Learn Res. , vol.7 , pp. 1025-1044
    • Gardner, A.B.1    Krieger, A.M.2    Vachtsevanos, G.3    Litt, B.4
  • 84
    • 84864004817 scopus 로고    scopus 로고
    • Frequency-response-based wavelet decomposition for extracting children's mismatch negativity elicited by uninterrupted sound
    • F. Cong, Y. Huang, I. Kalyakin, H. Li, T. Huttunen-Scott, H. Lyytinen and T. Ristaniemi1, "Frequency-response-based wavelet decomposition for extracting children's mismatch negativity elicited by uninterrupted sound," J. Med. Biol. Eng., 32: 205-214, 2012.
    • (2012) J. Med. Biol. Eng. , vol.32 , pp. 205-214
    • Cong, F.1    Huang, Y.2    Kalyakin, I.3    Li, H.4    Huttunen-Scott, T.5    Lyytinen, H.6    Ristaniemi1, T.7
  • 88
    • 59649124353 scopus 로고    scopus 로고
    • The statistics of a practical seizure warning system
    • D. E. Snyder, J. Echauz, D. B. Grimes and B. Litt, "The statistics of a practical seizure warning system," J. Neural Eng., 5: 392-401, 2008.
    • (2008) J. Neural Eng. , vol.5 , pp. 392-401
    • Snyder, D.E.1    Echauz, J.2    Grimes, D.B.3    Litt, B.4
  • 89
    • 84891602596 scopus 로고    scopus 로고
    • FSPEEG Database (with permission), Available,, (Downloaded ).
    • FSPEEG Database (with permission), Available: https:/ /epilepsy. uni-freiburg.de/freiburg-seizure-prediction-project/eeg-database, (Downloaded 2008).
    • (2008)
  • 90
    • 0035682573 scopus 로고    scopus 로고
    • Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
    • R. G. Andrzejak, K. Lehnertz, F. Mormann, C. Rieke, P. David and C. E. Elger, "Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state," Phys. Rev. E, 64: 061907/1-061907/8, 2001.
    • (2001) Phys. Rev. E , vol.64
    • Andrzejak, R.G.1    Lehnertz, K.2    Mormann, F.3    Rieke, C.4    David, P.5    Elger, C.E.6
  • 93
    • 24644496662 scopus 로고    scopus 로고
    • "An automatic warning system for epileptic seizures recorded on intracerebral EEGs
    • S. Grewal and J. Gotman, "An automatic warning system for epileptic seizures recorded on intracerebral EEGs," Clin. Neurophysiol., 116: 2460-2472, 2005.
    • (2005) Clin. Neurophysiol. , vol.116 , pp. 2460-2472
    • Grewal, S.1    Gotman, J.2


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