-
1
-
-
0038238304
-
Adaptive epileptic seizure prediction system
-
L.D. Iasemidis, D.-S. Shiau, W. Chaovalitwongse, J.C. Sackellares, P.M. Pardalos, J.C. Principe, P.R. Carney, A. Prasad, B. Veeramani, and K. Tsakalis Adaptive epileptic seizure prediction system IEEE Trans. Biomed. Eng. 50 May (5) 2003 616 627
-
(2003)
IEEE Trans. Biomed. Eng.
, vol.50
, Issue.MAY 5
, pp. 616-627
-
-
Iasemidis, L.D.1
Shiau, D.-S.2
Chaovalitwongse, W.3
Sackellares, J.C.4
Pardalos, P.M.5
Principe, J.C.6
Carney, P.R.7
Prasad, A.8
Veeramani, B.9
Tsakalis, K.10
-
2
-
-
77951208271
-
Epileptic EEG detection using the linear prediction error energy
-
S. Altunay, Z. Telatar, and O. Erogul Epileptic EEG detection using the linear prediction error energy Expert Systems with Applications 37 August (8) 2010 5661 5665
-
(2010)
Expert Systems with Applications
, vol.37
, Issue.AUGUST 8
, pp. 5661-5665
-
-
Altunay, S.1
Telatar, Z.2
Erogul, O.3
-
3
-
-
84876285375
-
Automated EEG analysis of epilepsy: A review
-
U.R. Acharya, S.V. Sree, G. Swapna, R.J. Martis, and J.S. Suri Automated EEG analysis of epilepsy: a review Knowledge-Based Systems 45 June 2013 147 165
-
(2013)
Knowledge-Based Systems
, vol.45
, Issue.JUNE
, pp. 147-165
-
-
Acharya, U.R.1
Sree, S.V.2
Swapna, G.3
Martis, R.J.4
Suri, J.S.5
-
4
-
-
24044474732
-
Artificial neural network based epileptic detection using time-domain and frequency-domain features
-
DOI 10.1007/s10916-005-6133-1
-
V. Srinivasan, C. Eswaran, and N. Sriraam Artificial neural network based epileptic detection using time-domain and frequency-domain features Journal of Medical Systems 29 December (6) 2005 647 660 (Pubitemid 41225146)
-
(2005)
Journal of Medical Systems
, vol.29
, Issue.6
, pp. 647-660
-
-
Srinivasan, V.1
Eswaran, C.2
Sriraam, A.N.3
-
5
-
-
34247217946
-
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
-
DOI 10.1016/j.amc.2006.09.022, PII S0096300306012380
-
K. Polat, and S. Güneş Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform Applied Mathematics and Computation 187 April (2) 2007 1017 1026 (Pubitemid 46627890)
-
(2007)
Applied Mathematics and Computation
, vol.187
, Issue.2
, pp. 1017-1026
-
-
Polat, K.1
Gunes, S.2
-
6
-
-
84903811417
-
-
Elsevier Oxford, UK ch.15, article 15.5
-
B. Boashash, M. Mesbah, and P. Colditz Time frequency detection of EEG abnormalities, in Time-Frequency Signal Analysis and Processing: A Comprehensive Reference 2003 Elsevier Oxford, UK 663 670 ch.15, article 15.5
-
(2003)
Time Frequency Detection of EEG Abnormalities, in Time-Frequency Signal Analysis and Processing: A Comprehensive Reference
, pp. 663-670
-
-
Boashash, B.1
Mesbah, M.2
Colditz, P.3
-
7
-
-
35248825924
-
EEG signal analysis using FB expansion and second-order linear TVAR process
-
DOI 10.1016/j.sigpro.2007.07.022, PII S0165168407002708
-
R.B. Pachori, and P. Sircar EEG signal analysis using FB expansion and second-order linear TVAR process Signal Processing 88 February (2) 2008 415 420 (Pubitemid 47562112)
-
(2008)
Signal Processing
, vol.88
, Issue.2
, pp. 415-420
-
-
Pachori, R.B.1
Sircar, P.2
-
8
-
-
0037441741
-
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 Journal of Neuroscience Methods 123 February (1) 2003 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
-
9
-
-
0038398958
-
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 Clinical Neurophysiology 114 May (5) 2003 898 908 (Pubitemid 36556101)
-
(2003)
Clinical Neurophysiology
, vol.114
, Issue.5
, pp. 898-908
-
-
Khan, Y.U.1
Gotman, J.2
-
10
-
-
38749083808
-
Automatic seizure detection based on time-frequency analysis and artificial neural networks
-
Article ID 80510
-
A.T. Tzallas, M.G. Tsipouras, and D.I. Fotiadis Automatic seizure detection based on time-frequency analysis and artificial neural networks Computational Intelligence and Neuroscience 2007 2007 13 Article ID 80510
-
(2007)
Computational Intelligence and Neuroscience
, vol.2007
, pp. 13
-
-
Tzallas, A.T.1
Tsipouras, M.G.2
Fotiadis, D.I.3
-
11
-
-
33947658555
-
Epileptic seizure detection
-
DOI 10.1109/MEMB.2007.335592, 19
-
R. Schuyler, A. White, K. Staley, and K.J. Cios Epileptic seizure detection IEEE Engineering in Medicine and Biology Magazine 26 March/April (2) 2007 74 81 (Pubitemid 46486581)
-
(2007)
IEEE Engineering in Medicine and Biology Magazine
, vol.26
, Issue.2
, pp. 74-81
-
-
Schuyler, R.1
White, A.2
Staley, K.3
Cios, K.J.4
-
12
-
-
34547573516
-
Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection
-
DOI 10.1109/TBME.2007.891945
-
S. Ghosh-Dastidar, H. Adeli, and N. Dadmehr Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection IEEE Transactions on Biomedical Engineering 54 September (9) 2007 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
-
13
-
-
41249099701
-
Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm
-
H. Ocak Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm Signal Processing 7 July 2008 1858 1867
-
(2008)
Signal Processing
, vol.7
, Issue.JULY
, pp. 1858-1867
-
-
Ocak, H.1
-
14
-
-
77957685691
-
Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks
-
L. Guo, D. Rivero, and A. Pazos Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks Journal of Neuroscience Methods 193 October (1) 2010 156 163
-
(2010)
Journal of Neuroscience Methods
, vol.193
, Issue.OCTOBER 1
, pp. 156-163
-
-
Guo, L.1
Rivero, D.2
Pazos, A.3
-
16
-
-
84878512713
-
Epileptic seizure detection in EEG signals using multifractal analysis and wavelet transform
-
R. Uthayakumar, and D. Easwaramoorthy Epileptic seizure detection in EEG signals using multifractal analysis and wavelet transform Fractals 21 June (2) 2013
-
(2013)
Fractals
, vol.21
, Issue.JUNE 2
-
-
Uthayakumar, R.1
Easwaramoorthy, D.2
-
17
-
-
84871148149
-
Multifractal-wavelet based denoising in the classification of healthy and epileptic EEG signals
-
R. Uthayakumar, and D. Easwaramoorthy Multifractal-wavelet based denoising in the classification of healthy and epileptic EEG signals Fluctuation and Noise Letters 11 December (4) 2012
-
(2012)
Fluctuation and Noise Letters
, vol.11
, Issue.DECEMBER 4
-
-
Uthayakumar, R.1
Easwaramoorthy, D.2
-
18
-
-
79953108190
-
Improved generalized fractal dimensions in the discrimination between healthy and epileptic EEG signals
-
D. Easwaramoorthy, and R. Uthayakumar Improved generalized fractal dimensions in the discrimination between healthy and epileptic EEG signals Journal of Computational Science 01 March 2011 31 38
-
(2011)
Journal of Computational Science
, vol.1
, Issue.MARCH
, pp. 31-38
-
-
Easwaramoorthy, D.1
Uthayakumar, R.2
-
19
-
-
84865980798
-
Classification of seizure and nonseizure EEG signals using empirical mode decomposition
-
V. Bajaj, and R.B. Pachori Classification of seizure and nonseizure EEG signals using empirical mode decomposition IEEE Transactions on Information Technology in Biomedicine 6 November 2012 1135 1142
-
(2012)
IEEE Transactions on Information Technology in Biomedicine
, vol.6
, Issue.NOVEMBER
, pp. 1135-1142
-
-
Bajaj, V.1
Pachori, R.B.2
-
20
-
-
80655124711
-
Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition
-
R.B. Pachori, and V. Bajaj Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition Computer Methods and Programs in Biomedicine 3 December 2011 373 381
-
(2011)
Computer Methods and Programs in Biomedicine
, vol.3
, Issue.DECEMBER
, pp. 373-381
-
-
Pachori, R.B.1
Bajaj, V.2
-
21
-
-
78549254986
-
Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition
-
Article ID 293056
-
R.B. Pachori Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition Research Letters in Signal Processing 2008 2008 5 Article ID 293056
-
(2008)
Research Letters in Signal Processing
, vol.2008
, pp. 5
-
-
Pachori, R.B.1
-
22
-
-
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 BioMedical Engineering OnLine 10 May 2011
-
(2011)
BioMedical Engineering OnLine
, vol.10
, Issue.MAY
-
-
Oweis, R.J.1
Abdulhay, E.W.2
-
23
-
-
84870547200
-
Application of empirical mode decomposition (EMD) for automated detection of epilepsy using EEG signals
-
R.J. Martis, U.R. Acharya, J.H. Tan, A. Petznick, R. Yanti, C.K. Chua, E.Y. Ng, and L. Tong Application of empirical mode decomposition (EMD) for automated detection of epilepsy using EEG signals International Journal of Neural Systems 22 December (6) 2012
-
(2012)
International Journal of Neural Systems
, vol.22
, Issue.DECEMBER 6
-
-
Martis, R.J.1
Acharya, U.R.2
Tan, J.H.3
Petznick, A.4
Yanti, R.5
Chua, C.K.6
Ng, E.Y.7
Tong, L.8
-
24
-
-
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 Biomedical Engineering Letters 1 March 2013 17 21
-
(2013)
Biomedical Engineering Letters
, vol.1
, Issue.MARCH
, pp. 17-21
-
-
Bajaj, V.1
Pachori, R.B.2
-
25
-
-
29744467968
-
Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection
-
DOI 10.1016/j.compbiomed.2004.11.001, PII S0010482504001441
-
A. Subasi, E. Erçelebi, A. Alkan, and E. Koklukaya Comparison of subspace-based methods with AR parametric methods in epileptic seizure detection Computers in Biology and Medicine 36 February (2) 2006 195 208 (Pubitemid 43028493)
-
(2006)
Computers in Biology and Medicine
, vol.36
, Issue.2
, pp. 195-208
-
-
Subasi, A.1
Ercelebi, E.2
Alkan, A.3
Koklukaya, E.4
-
31
-
-
45749124824
-
A fault diagnosis approach for gears based on IMF AR model and SVM
-
Article ID 647135
-
J. Cheng, D. Yu, and Y. Yang A fault diagnosis approach for gears based on IMF AR model and SVM EURASIP Journal on Advances in Signal Processing 2008 2008 7 Article ID 647135
-
(2008)
EURASIP Journal on Advances in Signal Processing
, vol.2008
, pp. 7
-
-
Cheng, J.1
Yu, D.2
Yang, Y.3
-
32
-
-
37249031426
-
Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly
-
DOI 10.1109/TNSRE.2007.906961
-
A.H. Khandoker, D.T.H. Lai, R.K. Begg, and M. Palaniswami Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly IEEE Transactions on Neural Systems and Rehabilitation Engineering 15 December (4) 2007 587 597 (Pubitemid 350274170)
-
(2007)
IEEE Transactions on Neural Systems and Rehabilitation Engineering
, vol.15
, Issue.4
, pp. 587-597
-
-
Khandoker, A.H.1
Lai, D.T.H.2
Begg, R.K.3
Palaniswami, M.4
-
33
-
-
0035682573
-
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
-
Article ID 061907
-
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 Physical Review E 64 6 2001 Article ID 061907
-
(2001)
Physical Review e
, vol.64
, Issue.6
-
-
Andrzejak, R.G.1
Lehnertz, K.2
Mormann, F.3
Rieke, C.4
David, P.5
Elger, C.E.6
|