-
1
-
-
0030938880
-
Patients' experiences of injury as a result of epilepsy
-
DOI 10.1111/j.1528-1157.1997.tb01733.x
-
Buck D, Baker GA, Jacoby A, et al. Patients' experiences of injury as a result of epilepsy. Epilepsia 1997; 38: 439-444. (Pubitemid 27172024)
-
(1997)
Epilepsia
, vol.38
, Issue.4
, pp. 439-444
-
-
Buck, D.1
Baker, G.A.2
Jacoby, A.3
Smith, D.F.4
Chadwick, D.W.5
-
3
-
-
84877799445
-
-
(accessed March 2012)
-
Epilepsy. http://www.news-medical.net/health/What-is-Epilepsy.aspx (accessed March 2012).
-
Epilepsy
-
-
-
4
-
-
79960803523
-
Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing
-
Coyle D, McGinnity TM and Prasad G. Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing. Biomed Signal Proces 2010; 5(3): 196-204.
-
(2010)
Biomed Signal Proces
, vol.5
, Issue.3
, pp. 196-204
-
-
Coyle, D.1
McGinnity, T.M.2
Prasad, G.3
-
5
-
-
67650221411
-
Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain computer interface
-
Ince NF, Goksu F, Tewfik AH, et al. Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain computer interface. Biomed Signal Proces 2009; 4(3): 236-246.
-
(2009)
Biomed Signal Proces
, vol.4
, Issue.3
, pp. 236-246
-
-
Ince, N.F.1
Goksu, F.2
Tewfik, A.H.3
-
6
-
-
78651351193
-
EEG montage analysis in the blind source separation framework
-
Ruiz RAS, Ranta R and Louis-Dorr V. EEG montage analysis in the Blind Source Separation framework. Biomed Signal Proces 2010; 6(1): 77-84.
-
(2010)
Biomed Signal Proces
, vol.6
, Issue.1
, pp. 77-84
-
-
Ruiz, R.A.S.1
Ranta, R.2
Louis-Dorr, V.3
-
7
-
-
0029868488
-
Beyond mapping: Estimating complexity of multichannel EEG recordings
-
Wackermann J. Beyond mapping: estimating complexity of multi-channel EEG recordings. Acta Neurobiol Exp 1996; 56(1): 197-208. (Pubitemid 26126140)
-
(1996)
Acta Neurobiologiae Experimentalis
, vol.56
, Issue.1
, pp. 197-208
-
-
Wackermann, J.1
-
8
-
-
0032171718
-
Stochastic complexity measures for physiological signal analysis
-
DOI 10.1109/10.709563
-
Rezek IA and Roberts SJ. Stochastic complexity measures for physiological signal analysis. IEEE Trans Biomed Eng 1998; 45(9): 1186-1191. (Pubitemid 28385739)
-
(1998)
IEEE Transactions on Biomedical Engineering
, vol.45
, Issue.9
, pp. 1186-1191
-
-
Rezek, I.A.1
Roberts, S.J.2
-
9
-
-
0032714280
-
The performance of electroencephalogram bispectral index and auditory evoked potential index to predict loss of consciousness during propofol infusion
-
Schraag S, Bothner U, Gajraj R, et al. The performance of electroencephalogram bispectral index and auditory evoked potential index to predict loss of consciousness during propofol infusion. Anesth Analg 1999; 89(5): 1311-1315. (Pubitemid 29521962)
-
(1999)
Anesthesia and Analgesia
, vol.89
, Issue.5
, pp. 1311-1315
-
-
Schraag, S.1
Bothner, U.2
Gajraj, R.3
Kenny, G.N.C.4
Georgieff, M.5
-
10
-
-
0033374853
-
Nonlinear EEG changes in postanoxic encephalopathy
-
Stam CJ, Van der Leij EMH, Keunen RWM, et al. Nonlinear EEG changes in postanoxic encephalopathy. Theor Biosci 1999; 118: 209-218. (Pubitemid 30072065)
-
(1999)
Theory in Biosciences
, vol.118
, Issue.3-4
, pp. 209-218
-
-
Stam, C.J.1
Hessels Van Der Leij, E.M.2
Keunen, R.W.M.3
Tavy, D.L.J.4
-
12
-
-
0026462367
-
Complex dynamics underlying the human electroencephalogram
-
Ravelli F and Antolini R. Complex dynamics underlying the human electroencephalogram. Biol Cybern 1992; 67: 57-65.
-
(1992)
Biol Cybern
, vol.67
, pp. 57-65
-
-
Ravelli, F.1
Antolini, R.2
-
13
-
-
0035682573
-
Indications of nonlinear deterministic and finitedimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
-
Andrzejak RG, Lehnertz K, Rieke Mormann F, et al. Indications of nonlinear deterministic and finitedimensional structures in time series of brain electrical activity: dependence on recording region and brain state. Phys Rev E 2001; 64: 558 061907.
-
(2001)
Phys Rev e
, vol.64
, Issue.558
, pp. 061907
-
-
Andrzejak, R.G.1
Lehnertz, K.2
Rieke Mormann, F.3
-
14
-
-
0026922952
-
Wavelet and filter banks: Theory and design
-
Vitterli M. Wavelet and filter banks: theory and design. IEEE T Signal Proces 1992; 40(9): 2207-2232.
-
(1992)
IEEE T Signal Proces
, vol.40
, Issue.9
, pp. 2207-2232
-
-
Vitterli, M.1
-
16
-
-
0037441741
-
Analysis of EEG records in an epileptic patient using wavelet transform
-
DOI 10.1016/S0165-0270(02)00340-0, PII S0165027002003400
-
Adeli H, Zhou Z and Dadmehr N. Analysis of EEG records in an epileptic patient using wavelet transform. J Neurosci Methods 2003; 123(1): 69-87. (Pubitemid 36173654)
-
(2003)
Journal of Neuroscience Methods
, vol.123
, Issue.1
, pp. 69-87
-
-
Adeli, H.1
Zhou, Z.2
Dadmehr, N.3
-
17
-
-
77957830692
-
EEG signal classification using PCA, ICA, LDA and support vector machines
-
Subasi A and Gursoy MI. EEG signal classification using PCA, ICA, LDA and support vector machines. Expert Syst Appl 2010; 37: 8659-8666.
-
(2010)
Expert Syst Appl
, vol.37
, pp. 8659-8666
-
-
Subasi, A.1
Gursoy, M.I.2
-
18
-
-
0003922190
-
-
New York, NY, USA, John Wiley & Sons Inc.
-
Duda RO, Hart PE and Stork DG. Pattern classification. New York, NY, USA, John Wiley & Sons Inc., 2006.
-
(2006)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
19
-
-
33646933543
-
Imaging brain dynamics component analysis
-
Tzyy-Ping J, Makeig S, Mckeown MJ, et al. Imaging brain dynamics using independent component analysis. Proc IEEE 2001; 89(7): 1107-1122. (Pubitemid 33766615)
-
(2001)
Proceedings of the IEEE
, vol.89
, Issue.7
, pp. 1107-1122
-
-
Jung, T.-P.1
Makeig, S.2
Mckeown, M.J.3
Bell, A.J.4
Lee, T.E.-W.5
Sejnowski, T.J.6
-
20
-
-
0042826822
-
Independent component analysis: Algorithms and applications
-
DOI 10.1016/S0893-6080(00)00026-5, PII S0893608000000265
-
Hyvärinen A and Oja E. Independent component analysis: algorithms and applications. Neural Netw 2000; 13(4-5): 411-430. (Pubitemid 30447427)
-
(2000)
Neural Networks
, vol.13
, Issue.4-5
, pp. 411-430
-
-
Hyvarinen, A.1
Oja, E.2
-
21
-
-
0003585297
-
-
San Fransisco, CA, USA, Morgan Kaufmann
-
Han J, Kamber M and Pei J. Data mining: concepts and techniques. San Fransisco, CA, USA, Morgan Kaufmann, 2005.
-
(2005)
Data Mining: Concepts and Techniques
-
-
Han, J.1
Kamber, M.2
Pei, J.3
-
25
-
-
33747866964
-
Seizure anticipation: Are neurophenomenological approaches able to detect preictal symptoms?
-
DOI 10.1016/j.yebeh.2006.05.013, PII S1525505006002071
-
Petitmengin C, Baulac M and Navarro V. Seizure anticipation: are neurophenomenological approaches able to detect preictal symptoms? Epilepsy Behav 2006; 9(2): 298-306. (Pubitemid 44283808)
-
(2006)
Epilepsy and Behavior
, vol.9
, Issue.2
, pp. 298-306
-
-
Petitmengin, C.1
Baulac, M.2
Navarro, V.3
-
26
-
-
84856227784
-
Application of higher order spectra to identify epileptic EEG
-
Chua CK, Chandran V, Acharya UR, et al. Application of higher order spectra to identify epileptic EEG. J Med Syst 2011; 35(6): 1563-1571.
-
(2011)
J Med Syst
, vol.35
, Issue.6
, pp. 1563-1571
-
-
Chua, C.K.1
Chandran, V.2
Acharya, U.R.3
-
27
-
-
27744537035
-
Entropies for detection of epilepsy in EEG
-
DOI 10.1016/j.cmpb.2005.06.012, PII S0169260705001525
-
Kannathal N, Lim CM, Acharya UR, et al. Entropies for detection of epilepsy in EEG. Comput Methods Programs Biomed 2005; 80(3): 187-194. (Pubitemid 41619331)
-
(2005)
Computer Methods and Programs in Biomedicine
, vol.80
, Issue.3
, pp. 187-194
-
-
Kannathal, N.1
Choo, M.L.2
Acharya, U.R.3
Sadasivan, P.K.4
-
28
-
-
0001649501
-
Can epileptic seizures be predicted? Evidence from nonlinear time series analyses of brain electrical activity
-
Lehnertz K and Elger CE. Can epileptic seizures be predicted? Evidence from nonlinear time series analyses of brain electrical activity. Phys Rev Lett 1988; 80: 5019-5023.
-
(1988)
Phys Rev Lett
, vol.80
, pp. 5019-5023
-
-
Lehnertz, K.1
Elger, C.E.2
-
29
-
-
0031721738
-
Can epileptic crisis be anticipated?
-
Martinerie J, Adam C, Le van Quyen M, et al. Can epileptic crisis be anticipated? Nat Med 1998; 4: 1173-1176.
-
(1998)
Nat Med
, vol.4
, pp. 1173-1176
-
-
Martinerie, J.1
Adam, C.2
Le Van Quyen, M.3
-
30
-
-
24144470790
-
Recurrent neural networks employing Lyapunov exponents for EEG signals classification
-
DOI 10.1016/j.eswa.2005.04.011, PII S0957417405000679
-
Guler NF, Ubey ED and Guler I. Recurrent neural network employing Lyapunov exponents for EEG signals classification. Expert Syst Appl 2005; 29(3): 506-514. (Pubitemid 41230775)
-
(2005)
Expert Systems with Applications
, vol.29
, Issue.3
, pp. 506-514
-
-
Guler, N.F.1
Ubeyli, E.D.2
Guler, I.3
-
31
-
-
34547597104
-
Improved spiking neural networks for EEG classification and epilepsy and seizure detection
-
Ghosh-Dastidar S and Adeli H. Improved spiking neural networks for EEG classification and epilepsy and seizure detection. Integr Comput-Aid E 2007; 14(3): 187-212. (Pubitemid 47191475)
-
(2007)
Integrated Computer-Aided Engineering
, vol.14
, Issue.3
, pp. 187-212
-
-
Ghosh-Dastidar, S.1
Adeli, H.2
-
32
-
-
34547573516
-
Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection
-
DOI 10.1109/TBME.2007.891945
-
Ghosh-Dastidar S, Adeli H and Dadmehr N. Mixed band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection. IEEE Trans Biomed Eng 2007; 54(9): 1545-1551. (Pubitemid 47301028)
-
(2007)
IEEE Transactions on Biomedical Engineering
, vol.54
, Issue.9
, pp. 1545-1551
-
-
Ghosh-Dastidar, S.1
Adeli, H.2
Dadmehr, N.3
-
33
-
-
38349123053
-
Principal component analysis enhanced cosine radial basis function neural network for robust epilepsy and seizure detection
-
Ghosh-Dastidar S, Adeli H and Dadmehr N. Principal component analysis enhanced cosine radial basis function neural network for robust epilepsy and seizure detection. IEEE Trans Biomed Eng 2008; 55(2): 512-518.
-
(2008)
IEEE Trans Biomed Eng
, vol.55
, Issue.2
, pp. 512-518
-
-
Ghosh-Dastidar, S.1
Adeli, H.2
Dadmehr, N.3
-
34
-
-
71049128082
-
A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection
-
Ghosh-Dastidar S and Adeli H. A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection. Neural Netw 2009; 22(10): 1419-1431.
-
(2009)
Neural Netw
, vol.22
, Issue.10
, pp. 1419-1431
-
-
Ghosh-Dastidar, S.1
Adeli, H.2
-
35
-
-
67449161052
-
Automatic identification of epileptic EEG signals using higher order spectra
-
Chua CK, Chandran V, Acharya UR, et al. Automatic identification of epileptic EEG signals using higher order spectra. Proc IMechE, Part H: J Engineering in Medicine 2009; 223(4): 485-495.
-
(2009)
Proc IMechE, Part H: J Engineering in Medicine
, vol.223
, Issue.4
, pp. 485-495
-
-
Chua, C.K.1
Chandran, V.2
Acharya, U.R.3
-
36
-
-
76449108621
-
Automatic identification of epileptic EEG signals using nonlinear parameters
-
Acharya UR, Chua KC, Lim TC, et al. Automatic identification of epileptic EEG signals using nonlinear parameters. J Mech Med Biol 2009; 9(4): 539-553.
-
(2009)
J Mech Med Biol
, vol.9
, Issue.4
, pp. 539-553
-
-
Acharya, U.R.1
Chua, K.C.2
Lim, T.C.3
-
37
-
-
77951577412
-
Automatic identification of epileptic and background EEG signals using frequency domain parameters
-
Faust O, Acharya UR, Lim CM, et al. Automatic identification of epileptic and background EEG signals using frequency domain parameters. Int J Neural Syst 2010; 20(2): 159-176.
-
(2010)
Int J Neural Syst
, vol.20
, Issue.2
, pp. 159-176
-
-
Faust, O.1
Acharya, U.R.2
Lim, C.M.3
-
38
-
-
79960037752
-
Application of recurrence quantification analysis for the automated identification of epileptic EEG signals
-
Acharya UR, Sree SV, Chattopadhyay S, et al. Application of recurrence quantification analysis for the automated identification of epileptic EEG signals. Int J Neural Syst 2011; 21(3): 199-211.
-
(2011)
Int J Neural Syst
, vol.21
, Issue.3
, pp. 199-211
-
-
Acharya, U.R.1
Sree, S.V.2
Chattopadhyay, S.3
-
39
-
-
80053348045
-
Automatic detection of epileptic EEG signals using higher order cumulant features
-
Acharya UR, Sree SV and Suri JS. Automatic detection of epileptic EEG signals using higher order cumulant features. Int J Neural Syst 2011; 21(5): 1-12.
-
(2011)
Int J Neural Syst
, vol.21
, Issue.5
, pp. 1-12
-
-
Acharya, U.R.1
Sree, S.V.2
Suri, J.S.3
-
40
-
-
84859212205
-
Automated diagnosis of epileptic EEG using entropies
-
Acharya UR, Molinari F, Sree SV, et al. Automated diagnosis of epileptic EEG using entropies. Biomed Signal Proces 2012; 7(4): 401-408.
-
(2012)
Biomed Signal Proces
, vol.7
, Issue.4
, pp. 401-408
-
-
Acharya, U.R.1
Molinari, F.2
Sree, S.V.3
-
41
-
-
84877838003
-
Use of principal component analysis for automatic detection of epileptic EEG activities
-
Acharya UR, Sree SV and Suri JS. Use of principal component analysis for automatic detection of epileptic EEG activities. Expert Syst Appl 2012; 30(10): 9072-9078.
-
(2012)
Expert Syst Appl
, vol.30
, Issue.10
, pp. 9072-9078
-
-
Acharya, U.R.1
Sree, S.V.2
Suri, J.S.3
-
42
-
-
84870547200
-
Application of empirical mode decomposition (EMD) for automated detection of epilepsy using EEG signals
-
DOI: 10.1142/S012906571250027
-
Martis RJ, Acharya UR, Jen TH, et al. Application of empirical mode decomposition (EMD) for automated detection of epilepsy using EEG signals. Int J Neural Syst. 2012. DOI: 10.1142/S012906571250027.
-
(2012)
Int J Neural Syst
-
-
Martis, R.J.1
Acharya, U.R.2
Jen, T.H.3
-
43
-
-
84859351360
-
Application of non linear and wavelet based features for the automated identification of epileptic EEG signals
-
Acharya UR, Sree SV, Alvin APC, et al. Application of non linear and wavelet based features for the automated identification of epileptic EEG signals. Int J Neural Syst 2012; 22: 1250002.
-
(2012)
Int J Neural Syst
, vol.22
, pp. 1250002
-
-
Acharya, U.R.1
Sree, S.V.2
Alvin, A.P.C.3
|