-
1
-
-
16344387731
-
Epileptic seizures and epilepsy: Definitions proposed by the international league against epilepsy (ilae) and the international bureau for epilepsy (ibe)
-
R.S. Fisher et al., "Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE).," Epilepsia, vol. 46, no. 4, pp. 470-472, 2005.
-
(2005)
Epilepsia
, vol.46
, Issue.4
, pp. 470-472
-
-
Fisher, R.S.1
-
2
-
-
0032006582
-
A new interpretation of nonlinear energy operator and its efficacy in spike detection
-
S. Mukhopadhyay and G.C. Ray, "A new interpretation of nonlinear energy operator and its efficacy in spike detection," IEEE Transactions on Biomedical Engineering, vol. 45, no. 2, pp. 180-187, 1998.
-
(1998)
IEEE Transactions on Biomedical Engineering
, vol.45
, Issue.2
, pp. 180-187
-
-
Mukhopadhyay, S.1
Ray, G.C.2
-
3
-
-
0038238304
-
Adaptive epileptic seizure prediction system
-
L.D. Iasemidis, et al., "Adaptive epileptic seizure prediction system," IEEE Transactions on Biomedical Engineering, vol. 50, no. 5, pp. 616-627, 2003.
-
(2003)
IEEE Transactions on Biomedical Engineering
, vol.50
, Issue.5
, pp. 616-627
-
-
Iasemidis, L.D.1
-
4
-
-
84876285375
-
Automated EEG analysis of epilepsy: A review
-
U.R. Acharya et al., "Automated EEG analysis of epilepsy: A review," Knowledge-Based Systems, vol. 45, pp. 147-165, 2013.
-
(2013)
Knowledge-Based Systems
, vol.45
, pp. 147-165
-
-
Acharya, U.R.1
-
5
-
-
24144470790
-
Recurrent neural networks employing Lyapunov exponents for EEG signals classification
-
N.F. Güler, E.D. Übeyli, and I. Güler, "Recurrent neural networks employing Lyapunov exponents for EEG signals classification," Expert Systems with Applications, vol. 29, no. 3, pp. 506-514, 2005.
-
(2005)
Expert Systems with Applications
, vol.29
, Issue.3
, pp. 506-514
-
-
Güler, N.F.1
Beyli, E.D.U.2
Güler, I.3
-
6
-
-
0029123213
-
Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss
-
K. Lehnertz and C.E. Elger, "Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss," Electroencephalography and Clinical Neurophysiology, vol. 95, no. 2, pp. 108-117, 1995.
-
(1995)
Electroencephalography and Clinical Neurophysiology
, vol.95
, Issue.2
, pp. 108-117
-
-
Lehnertz, K.1
Elger, C.E.2
-
7
-
-
0031264147
-
Use of the fractal dimension for the analysis of electroencephalographic time series
-
A. Accardo et al., "Use of the fractal dimension for the analysis of electroencephalographic time series.," Biological Cybernetics, vol. 77, no. 5, pp. 339-350, 1997.
-
(1997)
Biological Cybernetics
, vol.77
, Issue.5
, pp. 339-350
-
-
Accardo, A.1
-
8
-
-
34248567678
-
Approximate entropybased epileptic EEG detection using artificial neural networks
-
V. Srinivasan, C. Eswaran, and N. Sriraam, "Approximate entropybased epileptic EEG detection using artificial neural networks," IEEE Transactions on Information Technology in Biomedicine, vol. 11, no. 3, pp. 288-295, 2007.
-
(2007)
IEEE Transactions on Information Technology in Biomedicine
, vol.11
, Issue.3
, pp. 288-295
-
-
Srinivasan, V.1
Eswaran, C.2
Sriraam, N.3
-
9
-
-
24044474732
-
Artificial neural network based epileptic detection using time-domain and frequency-domain features
-
V. Srinivasan, C. Eswaran, and N. Sriraam, "Artificial neural network based epileptic detection using time-domain and frequency-domain features," Journal of Medical Systems, vol. 29, no. 6, pp. 647-660, 2005.
-
(2005)
Journal of Medical Systems
, vol.29
, Issue.6
, pp. 647-660
-
-
Srinivasan, V.1
Eswaran, C.2
Sriraam, N.3
-
10
-
-
34247217946
-
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
-
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, vol. 187, no. 2, pp. 1017-1026, 2007.
-
(2007)
Applied Mathematics and Computation
, vol.187
, Issue.2
, pp. 1017-1026
-
-
Polat, K.1
Güneş, S.2
-
11
-
-
84886528449
-
Classification of ictal and seizure-free EEG signals using fractional linear prediction
-
V. Joshi, R.B. Pachori, and A. Vijesh, "Classification of ictal and seizure-free EEG signals using fractional linear prediction," Biomedical Signal Processing and Control, vol. 9, pp. 1-5, 2014.
-
(2014)
Biomedical Signal Processing and Control
, vol.9
, pp. 1-5
-
-
Joshi, V.1
Pachori, R.B.2
Vijesh, A.3
-
12
-
-
35248825924
-
EEG signal analysis using fb expansion and second-order linear TVAR process
-
R.B. Pachori and P. Sircar, "EEG signal analysis using FB expansion and second-order linear TVAR process," Signal Processing, vol. 88, no. 2, pp. 415-420, 2008.
-
(2008)
Signal Processing
, vol.88
, Issue.2
, pp. 415-420
-
-
Pachori, R.B.1
Sircar, P.2
-
13
-
-
38749083808
-
Automatic seizure detection based on time-frequency analysis and artificial neural networks
-
Article ID
-
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, vol. 2007, Article ID 80510, 13 pages, 2007.
-
(2007)
Computational Intelligence and Neuroscience
, vol.2007
-
-
Tzallas, A.T.1
Tsipouras, M.G.2
Fotiadis, D.I.3
-
14
-
-
70349410385
-
Epileptic seizure detection in EEGs using time-frequency analysis
-
A.T. Tzallas, M.G. Tsipouras, and D.I. Fotiadis, "Epileptic seizure detection in EEGs using time-frequency analysis," IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 5, pp. 703-710, 2009.
-
(2009)
IEEE Transactions on Information Technology in Biomedicine
, vol.13
, Issue.5
, pp. 703-710
-
-
Tzallas, A.T.1
Tsipouras, M.G.2
Fotiadis, D.I.3
-
15
-
-
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 Transactions on Biomedical Engineering, vol. 54, no. 2, pp. 205-211, 2007.
-
(2007)
IEEE Transactions on Biomedical Engineering
, vol.54
, Issue.2
, pp. 205-211
-
-
Adeli, H.1
Ghosh-Dastidar, S.2
Dadmehr, N.3
-
16
-
-
84901850150
-
Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance
-
S.-H. Lee et al. "Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance," Computer Methods and Programs in Biomedicine, vol. 116, no. 1, pp. 10-25, 2014.
-
(2014)
Computer Methods and Programs in Biomedicine
, vol.116
, Issue.1
, pp. 10-25
-
-
Lee, S.-H.1
-
17
-
-
5444236478
-
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
-
1971
-
N.E. Huang, et al., "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, vol. 454, no. 1971, pp. 903-995, 1998.
-
(1998)
Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
, vol.454
, pp. 903-995
-
-
Huang, N.E.1
-
18
-
-
78549254986
-
Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition
-
Article ID
-
R.B. Pachori, "Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition," Research Letters in Signal Processing, Article ID 293056, 5 pages, 2008.
-
(2008)
Research Letters in Signal Processing
-
-
Pachori, R.B.1
-
19
-
-
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, vol. 10, no. 38, 2011.
-
(2011)
BioMedical Engineering OnLine
, vol.10
, Issue.38
-
-
Oweis, R.J.1
Abdulhay, E.W.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, vol. 104, no. 3, pp. 373-381, 2011.
-
(2011)
Computer Methods and Programs in Biomedicine
, vol.104
, Issue.3
, pp. 373-381
-
-
Pachori, R.B.1
Bajaj, V.2
-
21
-
-
84892783589
-
Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions
-
R.B. Pachori and S. Patidar, "Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions," Computer Methods and Programs in Biomedicine, vol. 113, no. 2, pp. 494-502, 2014.
-
(2014)
Computer Methods and Programs in Biomedicine
, vol.113
, Issue.2
, pp. 494-502
-
-
Pachori, R.B.1
Patidar, S.2
-
22
-
-
84908042448
-
Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions
-
R. Sharma and R.B. Pachori, "Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions," Expert Systems with Applications, vol. 42, no. 3, pp. 1106-1117, 2015.
-
(2015)
Expert Systems with Applications
, vol.42
, Issue.3
, pp. 1106-1117
-
-
Sharma, R.1
Pachori, R.B.2
-
23
-
-
84923379154
-
Classification of seizure and seizure-free EEG signals using multi-level local patterns
-
T.S. Kumar, V. Kanhangad, and R. B. Pachori, "Classification of seizure and seizure-free EEG signals using multi-level local patterns," 19th International Conference on Digital Signal Processing, 2014, pp. 646-650.
-
(2014)
19th International Conference on Digital Signal Processing
, pp. 646-650
-
-
Kumar, T.S.1
Kanhangad, V.2
Pachori, R.B.3
-
24
-
-
84878902261
-
Feature extraction and recognition of ictal EEG using EMD and SVM
-
S. Li, et al., "Feature extraction and recognition of ictal EEG using EMD and SVM," Computers in Biology and Medicine, vol. 43, no. 7, pp. 807-816, 2013.
-
(2013)
Computers in Biology and Medicine
, vol.43
, Issue.7
, pp. 807-816
-
-
Li, S.1
-
25
-
-
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, vol. 3, no. 1, pp. 17-21, 2013.
-
(2013)
Biomedical Engineering Letters
, vol.3
, Issue.1
, pp. 17-21
-
-
Bajaj, V.1
Pachori, R.B.2
-
26
-
-
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, vol. 16, no. 6, pp. 1135-1142, 2012.
-
(2012)
IEEE Transactions on Information Technology in Biomedicine
, vol.16
, Issue.6
, pp. 1135-1142
-
-
Bajaj, V.1
Pachori, R.B.2
-
27
-
-
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
-
R.G. Andrzejak, et al., "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, vol. 64, Article ID 061907, 2001.
-
(2001)
Physical Review e
, vol.64
-
-
Andrzejak, R.G.1
-
29
-
-
8644225794
-
Assessment of chaotic parameters in nonstationary electrocardiograms by use of empirical mode decomposition
-
J.I. Salisbury and Y. Sun, "Assessment of chaotic parameters in nonstationary electrocardiograms by use of empirical mode decomposition," Annals of Biomedical Engineering, vol. 32, no. 10, pp. 1348-1354, 2004.
-
(2004)
Annals of Biomedical Engineering
, vol.32
, Issue.10
, pp. 1348-1354
-
-
Salisbury, J.I.1
Sun, Y.2
-
31
-
-
0029744119
-
Applying continuous chaotic modeling to cardiac signal analysis
-
M.E. Cohen, D.L. Hudson, and P.C. Deedwania, "Applying continuous chaotic modeling to cardiac signal analysis," Engineering in Medicine and Biology Magazine, IEEE, vol. 15, no. 5, pp. 97-102, 1996.
-
(1996)
Engineering in Medicine and Biology Magazine, IEEE
, vol.15
, Issue.5
, pp. 97-102
-
-
Cohen, M.E.1
Hudson, D.L.2
Deedwania, P.C.3
-
32
-
-
70349459780
-
Postural time-series analysis using empirical mode decomposition and second-order difference plots
-
R.B. Pachori et al., "Postural time-series analysis using empirical mode decomposition and second-order difference plots," IEEE International Conference on Acoustics, Speech, and Signal Processing, 2009, pp. 537-540.
-
(2009)
IEEE International Conference on Acoustics, Speech, and Signal Processing
, pp. 537-540
-
-
Pachori, R.B.1
-
33
-
-
84905719340
-
Gear fault diagnosis based on central tendency measure of intrinsic mode functions
-
A. Parey and R.B. Pachori, "Gear fault diagnosis based on central tendency measure of intrinsic mode functions", Internation Journal of COMADEM, vol. 17, no. 3, pp. 15-22, 2014.
-
(2014)
Internation Journal of COMADEM
, vol.17
, Issue.3
, pp. 15-22
-
-
Parey, A.1
Pachori, R.B.2
-
34
-
-
85013694526
-
-
third ed., Academic Press, Burlington, MA, USA
-
R.J. Freund, W.J. Wilson, and D.L. Mohr, Statistical Methods, third ed., Academic Press, Burlington, MA, USA, 2010.
-
(2010)
Statistical Methods
-
-
Freund, R.J.1
Wilson, W.J.2
Mohr, D.L.3
|