-
2
-
-
84927126004
-
Identification of epilepsy seizures using multi-resolution analysis and artificial neural networks
-
Springer
-
Gómez-Gil P., Juárez-Guerra E., Alarcón-Aquino V., Ramírez-Cortés M., Rangel-Magdaleno J. Identification of epilepsy seizures using multi-resolution analysis and artificial neural networks. Recent Advances on Hybrid Approaches for Designing Intelligent Systems 2014, 337-351. Springer.
-
(2014)
Recent Advances on Hybrid Approaches for Designing Intelligent Systems
, pp. 337-351
-
-
Gómez-Gil, P.1
Juárez-Guerra, E.2
Alarcón-Aquino, V.3
Ramírez-Cortés, M.4
Rangel-Magdaleno, J.5
-
3
-
-
33846638294
-
Seizure prediction: the long and winding road
-
Mormann F., Andrzejak R.G., Elger C.E., Lehnertz K. Seizure prediction: the long and winding road. Brain 2007, 130(2):314-333.
-
(2007)
Brain
, vol.130
, Issue.2
, pp. 314-333
-
-
Mormann, F.1
Andrzejak, R.G.2
Elger, C.E.3
Lehnertz, K.4
-
5
-
-
33751396389
-
EEG signal classification using wavelet feature extraction and a mixture of expert model
-
Subasi A. EEG signal classification using wavelet feature extraction and a mixture of expert model. Expert Syst. Appl. 2007, 32(4):1084-1093.
-
(2007)
Expert Syst. Appl.
, vol.32
, Issue.4
, pp. 1084-1093
-
-
Subasi, A.1
-
6
-
-
0035682573
-
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state
-
Andrzejak R.G., Lehnertz K., Mormann F., Rieke C., David P., Elger C.E. 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 2001, 64(6):061907.
-
(2001)
Phys. Rev. E
, vol.64
, Issue.6
, pp. 061907
-
-
Andrzejak, R.G.1
Lehnertz, K.2
Mormann, F.3
Rieke, C.4
David, P.5
Elger, C.E.6
-
9
-
-
84891056709
-
Semantic search-based genetic programming and the effect of intron deletion
-
Castelli M., Vanneschi L., Silva S. Semantic search-based genetic programming and the effect of intron deletion. IEEE Trans. Cybern. 2014, 44(1):103-113.
-
(2014)
IEEE Trans. Cybern.
, vol.44
, Issue.1
, pp. 103-113
-
-
Castelli, M.1
Vanneschi, L.2
Silva, S.3
-
10
-
-
84878230699
-
Preprocessing effects of 22 linear univariate features on the performance of seizure prediction methods
-
Rasekhi J., Mollaei M.R.K., Bandarabadi M., Teixeira C.A., Dourado A. Preprocessing effects of 22 linear univariate features on the performance of seizure prediction methods. J. Neurosci. Methods 2013, 217(1):9-16.
-
(2013)
J. Neurosci. Methods
, vol.217
, Issue.1
, pp. 9-16
-
-
Rasekhi, J.1
Mollaei, M.R.K.2
Bandarabadi, M.3
Teixeira, C.A.4
Dourado, A.5
-
11
-
-
84867919804
-
Seizure prediction using EEG spatiotemporal correlation structure
-
Williamson J.R., Bliss D.W., Browne D.W., Narayanan J.T. Seizure prediction using EEG spatiotemporal correlation structure. Epilepsy Behav. 2012, 25(2):230-238.
-
(2012)
Epilepsy Behav.
, vol.25
, Issue.2
, pp. 230-238
-
-
Williamson, J.R.1
Bliss, D.W.2
Browne, D.W.3
Narayanan, J.T.4
-
13
-
-
77951267316
-
Real-time epileptic seizure prediction using AR models and support vector machines
-
Chisci L., Mavino A., Perferi G., Sciandrone M., Anile C., Colicchio G., Fuggetta F. Real-time epileptic seizure prediction using AR models and support vector machines. IEEE Trans. Biomed. Eng. 2010, 57(5):1124-1132.
-
(2010)
IEEE Trans. Biomed. Eng.
, vol.57
, Issue.5
, pp. 1124-1132
-
-
Chisci, L.1
Mavino, A.2
Perferi, G.3
Sciandrone, M.4
Anile, C.5
Colicchio, G.6
Fuggetta, F.7
-
14
-
-
27744537035
-
Entropies for detection of epilepsy in EEG
-
Kannathal N., Choo M.L., Acharya U.R., Sadasivan P. Entropies for detection of epilepsy in EEG. Comput. Methods Progr. Biomed. 2005, 80(3):187-194.
-
(2005)
Comput. Methods Progr. Biomed.
, vol.80
, Issue.3
, pp. 187-194
-
-
Kannathal, N.1
Choo, M.L.2
Acharya, U.R.3
Sadasivan, P.4
-
15
-
-
34247217946
-
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
-
Polat K., Güneş S. Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform. Appl. Math. Comput. 2007, 187(2):1017-1026.
-
(2007)
Appl. Math. Comput.
, vol.187
, Issue.2
, pp. 1017-1026
-
-
Polat, K.1
Güneş, S.2
-
16
-
-
56349106179
-
Cross-correlation aided support vector machine classifier for classification of EEG signals
-
Chandaka S., Chatterjee A., Munshi S. Cross-correlation aided support vector machine classifier for classification of EEG signals. Expert Syst. Appl. 2009, 36(2):1329-1336.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 1329-1336
-
-
Chandaka, S.1
Chatterjee, A.2
Munshi, S.3
-
17
-
-
79959978998
-
Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection
-
Wang D., Miao D., Xie C. Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection. Expert Syst. Appl. 2011, 38(11):14314-14320.
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.11
, pp. 14314-14320
-
-
Wang, D.1
Miao, D.2
Xie, C.3
-
18
-
-
84921806191
-
Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data
-
Smart O., Burrell L. Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data. Eng. Appl. Artif. Intell. 2015, 39:198-214.
-
(2015)
Eng. Appl. Artif. Intell.
, vol.39
, pp. 198-214
-
-
Smart, O.1
Burrell, L.2
-
19
-
-
81855221797
-
Detection of epileptic electroencephalogram based on permutation entropy and support vector machines
-
Nicolaou N., Georgiou J. Detection of epileptic electroencephalogram based on permutation entropy and support vector machines. Expert Syst. Appl. 2012, 39(1):202-209.
-
(2012)
Expert Syst. Appl.
, vol.39
, Issue.1
, pp. 202-209
-
-
Nicolaou, N.1
Georgiou, J.2
-
21
-
-
41249099701
-
Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm
-
Ocak H. Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm. Signal Process. 2008, 88(7):1858-1867.
-
(2008)
Signal Process.
, vol.88
, Issue.7
, pp. 1858-1867
-
-
Ocak, H.1
-
22
-
-
77954612893
-
Combination of EEG complexity and spectral analysis for epilepsy diagnosis and seizure detection
-
Liang S.-F., Wang H.-C., Chang W.-L. Combination of EEG complexity and spectral analysis for epilepsy diagnosis and seizure detection. EURASIP J. Adv. Signal Process. 2010, 2010:62.
-
(2010)
EURASIP J. Adv. Signal Process.
, vol.2010
, pp. 62
-
-
Liang, S.-F.1
Wang, H.-C.2
Chang, W.-L.3
-
23
-
-
84865980798
-
Classification of seizure and nonseizure EEG signals using empirical mode decomposition
-
Bajaj V., Pachori R.B. Classification of seizure and nonseizure EEG signals using empirical mode decomposition. IEEE Trans. Inf. Technol. Biomed. 2012, 16(6):1135-1142.
-
(2012)
IEEE Trans. Inf. Technol. Biomed.
, vol.16
, Issue.6
, pp. 1135-1142
-
-
Bajaj, V.1
Pachori, R.B.2
-
24
-
-
79955700338
-
Classification of EEG signal using wavelet transform and support vector machine for epileptic seizure diction
-
IEEE
-
Panda R., Khobragade P., Jambhule P., Jengthe S., Pal P., Gandhi T. Classification of EEG signal using wavelet transform and support vector machine for epileptic seizure diction. 2010 International Conference on Systems in Medicine and Biology (ICSMB) 2010, 405-408. IEEE.
-
(2010)
2010 International Conference on Systems in Medicine and Biology (ICSMB)
, pp. 405-408
-
-
Panda, R.1
Khobragade, P.2
Jambhule, P.3
Jengthe, S.4
Pal, P.5
Gandhi, T.6
-
25
-
-
79957981604
-
EEG signals classification using the k-means clustering and a multilayer perceptron neural network model
-
Orhan U., Hekim M., Ozer M. EEG signals classification using the k-means clustering and a multilayer perceptron neural network model. Expert Syst. Appl. 2011, 38(10):13475-13481.
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.10
, pp. 13475-13481
-
-
Orhan, U.1
Hekim, M.2
Ozer, M.3
-
26
-
-
26944458497
-
Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
-
Güler I., Übeyli E.D. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients. J. Neurosci. Methods 2005, 148(2):113-121.
-
(2005)
J. Neurosci. Methods
, vol.148
, Issue.2
, pp. 113-121
-
-
Güler, I.1
Übeyli, E.D.2
-
27
-
-
51349117677
-
A radial basis function neural network model for classification of epilepsy using EEG signals
-
Aslan K., Bozdemir H., Şahin C., Oğulata S.N., Erol R. A radial basis function neural network model for classification of epilepsy using EEG signals. J. Med. Syst. 2008, 32(5):403-408.
-
(2008)
J. Med. Syst.
, vol.32
, Issue.5
, pp. 403-408
-
-
Aslan, K.1
Bozdemir, H.2
Şahin, C.3
Oğulata, S.N.4
Erol, R.5
-
28
-
-
24144470790
-
Recurrent neural networks employing Lyapunov exponents for EEG signals classification
-
Güler N.F., Übeyli E.D., Güler I. Recurrent neural networks employing Lyapunov exponents for EEG signals classification. Expert Syst. Appl. 2005, 29(3):506-514.
-
(2005)
Expert Syst. Appl.
, vol.29
, Issue.3
, pp. 506-514
-
-
Güler, N.F.1
Übeyli, E.D.2
Güler, I.3
-
29
-
-
77955054723
-
Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks
-
Guo L., Rivero D., Dorado J., Rabunal J.R., Pazos A. Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks. J. Neurosci. methods 2010, 191(1):101-109.
-
(2010)
J. Neurosci. methods
, vol.191
, Issue.1
, pp. 101-109
-
-
Guo, L.1
Rivero, D.2
Dorado, J.3
Rabunal, J.R.4
Pazos, A.5
-
30
-
-
77957685691
-
Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks
-
Guo L., Rivero D., Pazos A. Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks. J. Neurosci. Methods 2010, 193(1):156-163.
-
(2010)
J. Neurosci. Methods
, vol.193
, Issue.1
, pp. 156-163
-
-
Guo, L.1
Rivero, D.2
Pazos, A.3
-
32
-
-
5444236478
-
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
-
Huang N.E., Shen Z., Long S.R., Wu M.C., Shih H.H., Zheng Q., Yen N.-C., Tung C.C., Liu H.H. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc. Lond. Ser. A: Math. Phys. Eng. Sci. 1998, 454(1971):903-995.
-
(1998)
Proc. R. Soc. Lond. Ser. A: Math. Phys. Eng. Sci.
, vol.454
, Issue.1971
, 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
-
33
-
-
35448991660
-
On the trend, detrending, and variability of nonlinear and nonstationary time series
-
Wu Z., Huang N.E., Long S.R., Peng C.-K. On the trend, detrending, and variability of nonlinear and nonstationary time series. Proc. Natl. Acad. Sci. 2007, 104(38):14889-14894.
-
(2007)
Proc. Natl. Acad. Sci.
, vol.104
, Issue.38
, pp. 14889-14894
-
-
Wu, Z.1
Huang, N.E.2
Long, S.R.3
Peng, C.-K.4
-
34
-
-
78649417989
-
EMD: A package for empirical mode decomposition and Hilbert spectrum
-
Kim D., Oh H.-S. EMD: A package for empirical mode decomposition and Hilbert spectrum. R J. 2009, 1(1):40-46.
-
(2009)
R J.
, vol.1
, Issue.1
, pp. 40-46
-
-
Kim, D.1
Oh, H.-S.2
-
36
-
-
35148862496
-
A new crossover operator in genetic programming for object classification
-
Zhang M., Gao X., Lou W. A new crossover operator in genetic programming for object classification. IEEE Trans. Syst. Man Cybern. B: Cybern. 2007, 37(5):1332-1343.
-
(2007)
IEEE Trans. Syst. Man Cybern. B: Cybern.
, vol.37
, Issue.5
, pp. 1332-1343
-
-
Zhang, M.1
Gao, X.2
Lou, W.3
-
39
-
-
71349088028
-
Entropies based detection of epileptic seizures with artificial neural network classifiers
-
Pravin Kumar S., Sriraam N., Benakop P., Jinaga B. Entropies based detection of epileptic seizures with artificial neural network classifiers. Expert Syst. Appl. 2010, 37(4):3284-3291.
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.4
, pp. 3284-3291
-
-
Pravin Kumar, S.1
Sriraam, N.2
Benakop, P.3
Jinaga, B.4
-
40
-
-
56349101801
-
Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
-
Ocak H. Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy. Expert Syst. Appl. 2009, 36(2):2027-2036.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 2027-2036
-
-
Ocak, H.1
-
42
-
-
56549122554
-
Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks
-
Übeyli E.D. Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks. Digital Signal Process. 2009, 19(1):134-143.
-
(2009)
Digital Signal Process.
, vol.19
, Issue.1
, pp. 134-143
-
-
Übeyli, E.D.1
-
43
-
-
71749109171
-
Lyapunov exponents/probabilistic neural networks for analysis of EEG signals
-
Übeyli E.D. Lyapunov exponents/probabilistic neural networks for analysis of EEG signals. Expert Syst. Appl. 2010, 37(2):985-992.
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.2
, pp. 985-992
-
-
Übeyli, E.D.1
-
44
-
-
77951208271
-
Epileptic EEG detection using the linear prediction error energy
-
Altunay S., Telatar Z., Erogul O. Epileptic EEG detection using the linear prediction error energy. Expert Syst. Appl. 2010, 37(8):5661-5665.
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.8
, pp. 5661-5665
-
-
Altunay, S.1
Telatar, Z.2
Erogul, O.3
|