-
1
-
-
84891617325
-
-
World Health Organization
-
World Health Organization, 2011. Available: http://www.who.int /mediacentre/?factsheets/fs999/en/.
-
(2011)
-
-
-
2
-
-
0032962246
-
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
-
3
-
-
0033954491
-
An automated drug delivery system for focal epilepsy
-
A. G. Stein, H. G Eder, D. E. Blum, A. Drachev and R. S. Fisher, "An automated drug delivery system for focal epilepsy," Epilepsy Res., 39: 103-114, 2000.
-
(2000)
Epilepsy Res.
, vol.39
, pp. 103-114
-
-
Stein, A.G.1
Eder, H.G.2
Blum, D.E.3
Drachev, A.4
Fisher, R.S.5
-
4
-
-
1642513779
-
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
-
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
-
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
-
7
-
-
0037359431
-
Epileptic seizures are preceded by a decrease in synchronization
-
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., 53: 173-185, 2003.
-
(2003)
Epilepsy Res.
, vol.53
, pp. 173-185
-
-
Mormann, F.1
Kreuz, T.2
Andrzejak, R.G.3
David, P.4
Lehnertz, K.5
Elger, C.E.6
-
8
-
-
0037562843
-
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
-
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
-
10
-
-
77957030796
-
Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons
-
L. Kuhlmann, D. Freestone, A. Lai, A. N. Burkitt, K. Fuller, D. B. Grayden, L. Seiderer, S. Vogrin, I. M. Y. Mareels and M. J. Cook, "Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons," Epilepsy Res., 91: 214-231, 2010.
-
(2010)
Epilepsy Res.
, vol.91
, pp. 214-231
-
-
Kuhlmann, L.1
Freestone, D.2
Lai, A.3
Burkitt, A.N.4
Fuller, K.5
Grayden, D.B.6
Seiderer, L.7
Vogrin, S.8
Mareels, I.M.Y.9
Cook, M.J.10
-
13
-
-
69549116488
-
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
-
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
-
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
-
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
-
18
-
-
34547501080
-
A simple and fast algorithm for automatic suppression of high-amplitude artifacts in EEG data
-
N. Mourad, J. P. Reilly, H. de Bruin, G Hasey and D. MacCrimmon, "A simple and fast algorithm for automatic suppression of high-amplitude artifacts in EEG data," IEEE Int. Conf. on Acoustics, Speech and Signal Processing, 1: I393-I396, 2007.
-
(2007)
IEEE Int. Conf. on Acoustics, Speech and Signal Processing
, vol.1
-
-
Mourad, N.1
Reilly, J.P.2
de Bruin, G.3
Hasey, G.4
MacCrimmon, D.5
-
19
-
-
36949013034
-
Artifact removal from EEG signals using adaptive filters in cascade
-
A. Garces Correa, E. Laciar, H. D. Patino and M. E. Valentinuzzi, "Artifact removal from EEG signals using adaptive filters in cascade," J. Phys. Conf. Ser., 90: 012081.
-
J. Phys. Conf. Ser.
, vol.90
, pp. 012081
-
-
Garces Correa, A.1
Laciar, E.2
Patino, H.D.3
Valentinuzzi, M.E.4
-
20
-
-
34547844161
-
Multiway analysis of epilepsy tensors
-
E. Acar C A. Bingol, H. Bingol, R. Bro and B. Yener, "Multiway analysis of epilepsy tensors," Bioinformatics, 23: i10-i18, 2007.
-
(2007)
Bioinformatics
, vol.23
-
-
Acar, E.1
Bingol, C.A.2
Bingol, H.3
Bro, R.4
Yener, B.5
-
22
-
-
77955054723
-
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
-
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
-
24
-
-
54149101778
-
Automated neonatal seizure detection mimicking a human observer reading EEG
-
W. Deburchgraeve, P. J. Cherian, M. De Vos, R. M. Swarte, J. H. Blok, G. H. Visser, P. Govaert and S. Van Huffel, "Automated neonatal seizure detection mimicking a human observer reading EEG," Clin. Neurophysiol., 119: 2447-2454, 2008.
-
(2008)
Clin. Neurophysiol.
, vol.119
, pp. 2447-2454
-
-
Deburchgraeve, W.1
Cherian, P.J.2
De Vos, M.3
Swarte, R.M.4
Blok, J.H.5
Visser, G.H.6
Govaert, P.7
Van Huffel, S.8
-
25
-
-
44649182792
-
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
-
27
-
-
34247217946
-
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
-
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
-
29
-
-
0030249804
-
Automated seizure detection using a self-organizing neural network
-
A. J. Gabor, R. R. Leach and F. U. Dowla, "Automated seizure detection using a self-organizing neural network," Electroencephalogr. Clin. Neurophysiol., 99: 257-266, 1996.
-
(1996)
Electroencephalogr. Clin. Neurophysiol.
, vol.99
, pp. 257-266
-
-
Gabor, A.J.1
Leach, R.R.2
Dowla, F.U.3
-
30
-
-
0031858128
-
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
-
31
-
-
0037387643
-
Detection of seizure precursors from depth-EEG using a sign periodogram transform
-
J. J. Niederhauser, R. Esteller, J. Echauz, G. Vachtsevanos and B. Litt, "Detection of seizure precursors from depth-EEG using a sign periodogram transform," IEEE Trans. Biomed. Eng., 50: 449-458, 2003.
-
(2003)
IEEE Trans. Biomed. Eng.
, vol.50
, pp. 449-458
-
-
Niederhauser, J.J.1
Esteller, R.2
Echauz, J.3
Vachtsevanos, G.4
Litt, B.5
-
32
-
-
38749083808
-
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
-
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
-
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
-
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
-
36
-
-
27744537035
-
Entropies for detection of epilepsy in EEG
-
N. Kannathal, M. L. Choob, U. R. Acharya and P. K Sadasivana, "Entropies for detection of epilepsy in EEG," Comput. Meth. Programs Biomed., 80: 187-194, 2005.
-
(2005)
Comput. Meth. Programs Biomed.
, vol.80
, pp. 187-194
-
-
Kannathal, N.1
Choob, M.L.2
Acharya, U.R.3
Sadasivana, P.K.4
-
37
-
-
57649216253
-
Seizure recognition on epilepsy feature tensor
-
E. Acar, C. A. Bingol, H. Bingol, R. Bro and B. Yener, "Seizure recognition on epilepsy feature tensor," Conf. Proc. IEEE Eng. Med. Biol. Soc., 4273-4276, 2007.
-
(2007)
Conf. Proc. IEEE Eng. Med. Biol. Soc.
, pp. 4273-4276
-
-
Acar, E.1
Bingol, C.A.2
Bingol, H.3
Bro, R.4
Yener, B.5
-
38
-
-
57049095978
-
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
-
39
-
-
34547830370
-
Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone
-
M. De Vos, A. Vergult, L. De Lathauwer, W. De Clercq, S. Van Huffel, P. Dupont, A. Palmini and W. Van Paesschen, "Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone," Neuroimage, 37: 844-854, 2007.
-
(2007)
Neuroimage
, vol.37
, pp. 844-854
-
-
De Vos, M.1
Vergult, A.2
De Lathauwer, L.3
De Clercq, W.4
Van Huffel, S.5
Dupont, P.6
Palmini, A.7
Van Paesschen, W.8
-
40
-
-
38749146490
-
Canonical decomposition of ictal scalp EEG and accurate source localisation: principles and simulation study
-
M. De Vos, L. De Lathauwer, B. Vanrumste, S. Van Huffel and W. Van Paesschen, "Canonical decomposition of ictal scalp EEG and accurate source localisation: principles and simulation study," Comput. Intell. Neurosci., 58253, 2007.
-
(2007)
Comput. Intell. Neurosci.
, pp. 58253
-
-
De Vos, M.1
De Lathauwer, L.2
Vanrumste, B.3
Van Huffel, S.4
Van Paesschen, W.5
-
41
-
-
70349786736
-
A multi-stage system for the automated detection of epileptic seizures in neonatal EEG
-
J. Mitra, J. R. Glover, P. Y. Ktonas, A. T. Kumar, A. Mukherjee, N. B. Karayiannis, J. D. Frost Jr., R. A. Hrachovy and E. M. Mizrahi, "A multi-stage system for the automated detection of epileptic seizures in neonatal EEG;" J. Clin. Neurophysiol., 26: 218-226, 2009.
-
(2009)
J. Clin. Neurophysiol.
, vol.6
, pp. 218-226
-
-
Mitra, J.1
Glover, J.R.2
Ktonas, P.Y.3
Kumar, A.T.4
Mukherjee, A.5
Karayiannis, N.B.6
Frost, J.D.7
Hrachovy, R.A.8
Mizrahi, E.M.9
-
42
-
-
56549122554
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
57
-
-
4043124851
-
Patient-specific seizure onset detection
-
A. Shoeb, H. Edwards, J. Connolly, B. Bourgeois, S. T. Treves and J. Guttag, "Patient-specific seizure onset detection," Epilepsy Behav., 5: 483-498, 2004.
-
(2004)
Epilepsy Behav.
, vol.5
, pp. 483-498
-
-
Shoeb, A.1
Edwards, H.2
Connolly, J.3
Bourgeois, B.4
Treves, S.T.5
Guttag, J.6
-
58
-
-
5444236478
-
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
-
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
-
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
-
62
-
-
4444368775
-
Seizure detection: evaluation of the Reveal algorithm
-
S. B. Wilson, M. L. Scheuer, R. G. Emerson and A. J. Gabor, "Seizure detection: evaluation of the Reveal algorithm," Clin. Neurophysiol., 115: 2280-2291, 2004.
-
(2004)
Clin. Neurophysiol.
, vol.115
, pp. 2280-2291
-
-
Wilson, S.B.1
Scheuer, M.L.2
Emerson, R.G.3
Gabor, A.J.4
-
63
-
-
79960037752
-
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
-
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
-
67
-
-
80855131475
-
Automated artifact removal as preprocessing refines neonatal seizure detection
-
M. De Vos, W. Deburchgraeve, P. J. Cherian, V. Matic, R. M. Swarte, P. Govaert, G H. Visser and S. Van Huffel, "Automated artifact removal as preprocessing refines neonatal seizure detection," Clin. Neurophysiol., 122: 2345-2354, 2011.
-
(2011)
Clin. Neurophysiol.
, vol.122
, pp. 2345-2354
-
-
De Vos, M.1
Deburchgraeve, W.2
Cherian, P.J.3
Matic, V.4
Swarte, R.M.5
Govaert, P.6
Visser, G.H.7
Van Huffel, S.8
-
68
-
-
84862289479
-
EEG preprocessing for synchronization estimation and epilepsy lateralization
-
H. Velez-Perez, R. Romo-Vazquez, R. Ranta, V. Louis-Dorr and L. Maillard, "EEG preprocessing for synchronization estimation and epilepsy lateralization," Conf. Proc. IEEE Eng. Med. Biol. Soc., 5028-5031, 2011.
-
(2011)
Conf. Proc. IEEE Eng. Med. Biol. Soc.
, pp. 5028-5031
-
-
Velez-Perez, H.1
Romo-Vazquez, R.2
Ranta, R.3
Louis-Dorr, V.4
Maillard, L.5
-
69
-
-
84861098933
-
Blind source separation avelet denoising and discriminant analysis for EEG artefacts and noise cancelling
-
R. Romo-Vazquez, H. Velez-Perez, R. Ranta, V Louis-Dorr and L. Maillard, "Blind source separation, wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling," Biomed. Signal Process. Control, 7: 389-400, 2012.
-
(2012)
Biomed. Signal Process. Control
, vol.7
, pp. 389-400
-
-
Romo-Vazquez, R.1
Velez-Perez, H.2
Ranta, R.3
Louis-Dorr, V.4
Maillard, L.5
-
70
-
-
51249114726
-
Multiway modeling and analysis in stem cell systems biology
-
B. Yener, E. Acar, P. Aguis, K. Bennett, S. L. Vandenberg and G E. Plopper, "Multiway modeling and analysis in stem cell systems biology," BMCSyst. Biol., 2: 63, 2008.
-
(2008)
BMCSyst. Biol.
, vol.2
, pp. 63
-
-
Yener, B.1
Acar, E.2
Aguis, P.3
Bennett, K.4
Vandenberg, S.L.5
Plopper, G.E.6
-
71
-
-
56349101801
-
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
-
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
-
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
-
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
-
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
-
76
-
-
80053089919
-
Use of dynamical measures in prediction and control of focal and generalized epilepsy
-
in: I. Osorio, H. P. Zaveri, M. G Frei, S. Arthurs (Ed.), Boca Raton: CRC Press
-
S. Sabesan, L. Iasemidis, K. Tsakalis, D. M. Treiman and J. Sirven, "Use of dynamical measures in prediction and control of focal and generalized epilepsy," in: I. Osorio, H. P. Zaveri, M. G Frei, S. Arthurs (Ed.), Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering and Physics, Boca Raton: CRC Press, 307-319, 2011.
-
(2011)
Epilepsy:TheIntersection of Neurosciences, Biology, Mathematics, Engineering and Physics
, pp. 307-319
-
-
Sabesan, S.1
Iasemidis, L.2
Tsakalis, K.3
Treiman, D.M.4
Sirven, J.5
-
77
-
-
79957981604
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
85
-
-
85052621161
-
How to Detect and Quantify Epileptic Seizures
-
in: I. Osorio, H. P. Zaveri, M. G Frei, S. Arthurs (Ed.), Boca Raton: CRC Press
-
S. Sunderam, "How to Detect and Quantify Epileptic Seizures," in: I. Osorio, H. P. Zaveri, M. G Frei, S. Arthurs (Ed.), Epilepsy: The intersection of neurosciences, biology, mathematics, engineering and physics, Boca Raton: CRC Press, 139-164, 2011.
-
(2011)
Epilepsy: The intersection of neurosciences, biology, mathematics, engineering and physics
, pp. 139-164
-
-
Sunderam, S.1
-
86
-
-
78751633678
-
Performance assessment for EEG-based neonatal seizure detectors
-
A. Temko, E. Thomas, W. Marnanea, G. Lightbody and G. Boylan, "Performance assessment for EEG-based neonatal seizure detectors," Clin. Neurophysiol., 122: 474-482, 2011.
-
(2011)
Clin. Neurophysiol.
, vol.122
, pp. 474-482
-
-
Temko, A.1
Thomas, E.2
Marnanea, W.3
Lightbody, G.4
Boylan, G.5
-
87
-
-
78751613317
-
EEG-based neonatal seizure detection with Support Vector Machines
-
A. Temko, E. Thomas, W. Marnanea, G. Lightbody and G. Boylan, "EEG-based neonatal seizure detection with Support Vector Machines," Clin. Neurophysiol., 122: 464-473, 2011.
-
(2011)
Clin. Neurophysiol.
, vol.122
, pp. 464-473
-
-
Temko, A.1
Thomas, E.2
Marnanea, W.3
Lightbody, G.4
Boylan, G.5
-
88
-
-
59649124353
-
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
-
-
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
-
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
-
91
-
-
84876169272
-
Automated epileptic seizure detection methods: A review study
-
in: Dr. Dejan Stevanovic (Ed.), Croatia
-
A. T. Tzallas, M. G. Tsipouras, D. G Tsalikakis, E. C. Karvounis, L. Astrakas, S. Konitsiotis and M. Tzaphlidou, "Automated epileptic seizure detection methods: A review study," in: Dr. Dejan Stevanovic (Ed.), Epilepsy-Histological, Electro- encephalographic and Psychological Aspects, Croatia, 75-98, 2012.
-
(2012)
Epilepsy-Histological, Electro- encephalographic and Psychological Aspects
, pp. 75-98
-
-
Tzallas, A.T.1
Tsipouras, M.G.2
Tsalikakis, D.G.3
Karvounis, E.C.4
Astrakas, L.5
Konitsiotis, S.6
Tzaphlidou, M.7
-
92
-
-
14844283547
-
CHB-MIT Scalp EEG Database,PhysioBank hysioToolkit and PhysioNet: components of a new research resource for complex physiologic signals
-
CHB-MIT Scalp EEG Database. A. L. Goldberger, L. A. N. Amaral, L. Glass, J. M. Hausdorff, P. Ch. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, H. E. Stanley, "PhysioBank, PhysioToolkit and PhysioNet: components of a new research resource for complex physiologic signals," Circulation, 101: E215-E220, 2000.
-
(2000)
Circulation
, vol.101
-
-
Goldberger, A.L.1
Amaral, L.A.N.2
Glass, L.3
Hausdorff, J.M.4
Ivanov, P.C.H.5
Mark, R.G.6
Mietus, J.E.7
Moody, G.B.8
Peng, C.K.9
Stanley, H.E.10
-
93
-
-
24644496662
-
"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
|