-
1
-
-
84876169272
-
Automated epileptic seizure detection methods a review study
-
edited by D. Stevanovic
-
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: Epilepsy-Histological, Electroencephalographic and Psychological Aspects," edited by D. Stevanovic, (2012) 75-98.
-
(2012)
Epilepsy-Histological, Electroencephalographic 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
-
2
-
-
77955054723
-
Automatic epileptic seizure detection in eEGs based on line length feature and artificial neural networks
-
L. Guo, D. Rivero, J.Dorado, J. R. Rabuñal, A. Pazos, "Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks," J. Neurosci Methods, vol. 191, pp. 101-109, 2010.
-
(2010)
J. Neurosci Methods
, vol.191
, pp. 101-109
-
-
Guo, L.1
Rivero, D.2
Dorado, J.3
Rabuñal, J.R.4
Pazos, A.5
-
3
-
-
84867962470
-
Energy distribution of eEG signals eEG signal wavelet-Neural network classifier
-
I. Omerhodzic, S. Avdakovic, A. Nuhanovic, K. Dizdarevic. Energy Distribution of EEG Signals: EEG Signal Wavelet-Neural Network Classifier." Int. J. Bio &Life Sciences, vol. 6, no. 4.
-
Int. J. Bio &Life Sciences
, vol.6
, Issue.4
-
-
Omerhodzic, I.1
Avdakovic, S.2
Nuhanovic, A.3
Dizdarevic, K.4
-
4
-
-
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. J. Neurosci. Methods, vol. 193, pp. 156-163, 2010.
-
(2010)
J. Neurosci. Methods
, vol.193
, pp. 156-163
-
-
Guo, L.1
Rivero, D.2
Pazos, A.3
-
5
-
-
78651302006
-
A new approach for epileptic seizure detection sample entropy based features extraction and extreme learning machine
-
Y. Song, and P. Liò. A new approach for epileptic seizure detection: sample entropy based features extraction and extreme learning machine. J. Bio Science &Eng, vol. 3, pp. 556-567, 2010.
-
(2010)
J. Bio Science &Eng
, vol.3
, pp. 556-567
-
-
Song, Y.1
Liò, P.2
-
6
-
-
84863003946
-
Entropy measures for biological signal analyses
-
J. Gao, J. Hu, and W. W. Tung. Entropy measures for biological signal analyses. Nonlinear Dynamics in Medicine &Bio, vol. 68, pp. 431-444, 2012.
-
(2012)
Nonlinear Dynamics in Medicine &Bio
, vol.68
, pp. 431-444
-
-
Gao, J.1
Hu, J.2
Tung, W.W.3
-
7
-
-
27744537035
-
Entropies for detection of epilepsy in eEG
-
N. Kannathal, M.L. Choo, U.R. Acharya, and P.K. Sadasivan. Entropies for detection of epilepsy in EEG. Computer Methods &Programs in Biomed, vol. 80, pp. 187-194, 2005.
-
(2005)
Computer Methods &Programs in Biomed
, vol.80
, pp. 187-194
-
-
Kannathal, N.1
Choo, M.L.2
Acharya, U.R.3
Sadasivan, P.K.4
-
8
-
-
5444236478
-
The empirical mode decomposition and the hilbert spectrum for nonlinear and nonstationary 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 nonstationary time series analysis. Proc. R. Soc. London Ser., vol. 454, pp. 903-995, 1998.
-
(1998)
Proc. R. Soc. London Ser.
, 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
-
10
-
-
67649861646
-
Epileptic seizure detection using empirical mode decomposition
-
A.K. Tafreshi, A. M. Nasrabadi, and A. H. Omidvarnia. Epileptic Seizure Detection using Empirical Mode Decomposition. IEEE Intern Signal Processing &Information Technology, ISSPIT, pp. 238-242, 2008.
-
(2008)
IEEE Intern Signal Processing &Information Technology, ISSPIT
, pp. 238-242
-
-
Tafreshi, A.K.1
Nasrabadi, A.M.2
Omidvarnia, A.H.3
-
11
-
-
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. Compute methods &programs in Biomed, vol. 104, pp. 373-381, 2011.
-
(2011)
Compute Methods &Programs in Biomed
, vol.104
, pp. 373-381
-
-
Pachori, R.B.1
Bajaj, V.2
-
12
-
-
0035682573
-
Indication of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
-
R. G. K. Andrzejak, Lehnertz, F. Morman, C. Rieke, P. David, and C. E. Elger. Indication 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, 8 pages, 2001.
-
(2001)
Physical Review e
, vol.64
, pp. 8
-
-
Andrzejak, R.G.K.1
Lehnertz, F.2
Morman, C.3
Rieke, P.D.4
Elger, C.E.5
-
13
-
-
0442326792
-
Empirical mode decomposition as a filter bank
-
P. Flandrin, G. Rilling, and P. Goncalves. Empirical mode decomposition as a filter bank. Signal Processing Letters, IEEE, vol.11, pp. 112-114, 2004.
-
(2004)
Signal Processing Letters, IEEE
, vol.11
, pp. 112-114
-
-
Flandrin, P.1
Rilling, G.2
Goncalves, P.3
-
15
-
-
84897718529
-
-
http: //perso.ens-lyon.fr/patric.flandrin/emd.html.
-
-
-
-
16
-
-
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. Expert System with App, vol. 32, pp. 1084-1093, 2007.
-
(2007)
Expert System with App
, vol.32
, pp. 1084-1093
-
-
Subasi, A.1
-
17
-
-
48049118157
-
Information theoretic measures for quantifying the integration of neural activity
-
S. Aviyente, Information Theoretic Measures for Quantifying the Integration of Neural Activity. Information Theory &App, pp. 20-26, 2007
-
(2007)
Information Theory &App
, pp. 20-26
-
-
Aviyente, S.1
-
18
-
-
84857372439
-
KNN-CFApproach incorporating certainty factor to kNN classification
-
S. Zhang, KNN-CFApproach: Incorporating Certainty Factor to kNN Classification, IEEE Intel Informatics Bulletin, 2010.
-
(2010)
IEEE Intel Informatics Bulletin
-
-
Zhang, S.1
|