-
1
-
-
1542600129
-
The diagnosis of epilepsy and the art of listening
-
Trevathan, E., The diagnosis of epilepsy and the art of listening. Neurology 61:13-14, 2003.
-
(2003)
Neurology
, vol.61
, pp. 13-14
-
-
Trevathan, E.1
-
3
-
-
33746233572
-
Epilepsy case studies. USA
-
Faught, E., Epilepsy case studies. USA. Neurol. Clin. 24:291-307, 2006.
-
(2006)
Neurol. Clin.
, vol.24
, pp. 291-307
-
-
Faught, E.1
-
4
-
-
0037452661
-
Diagnosis and management of epilepsy
-
Blume, T. W., Diagnosis and management of epilepsy. CMAJ 168 (4):441-8, 2003.
-
(2003)
CMAJ
, vol.168
, Issue.4
, pp. 441-448
-
-
Blume, T.W.1
-
6
-
-
28444469422
-
The importance of acknowledging clinical uncertainty in the diagnosis of epilepsy and non-epileptic events
-
DOI 10.1136/adc.2004.065441
-
Beach, R., and Reading, R., The importance of acknowledging clinical uncertainty in the diagnosis of epilepsy and non-epileptic events. Arch. Dis. Child. 90:1219-1222, 2005. (Pubitemid 41736303)
-
(2005)
Archives of Disease in Childhood
, vol.90
, Issue.12
, pp. 1219-1222
-
-
Beach, R.1
Reading, R.2
-
7
-
-
67349125387
-
The role of EEG in epilepsy: A critical review
-
Noachtar, S., and Rémi, J., The role of EEG in epilepsy: A critical review. Epilepsy Behav. 15:22-33, 2009.
-
(2009)
Epilepsy Behav.
, vol.15
, pp. 22-33
-
-
Noachtar, S.1
Rémi, J.2
-
8
-
-
38749083808
-
-
Hindawi Publishing Corporation Computational Intelligence and Neuroscience, 13 Pages
-
Tzallas, A. T., Tsipouras, M. G., Fotiadis, D. I, Automatic seizure detection based on time-frequency analysis and artificial neural networks. Hindawi Publishing Corporation Computational Intelligence and Neuroscience Vol. 2007, Article ID 80510, 13 Pages.
-
Automatic Seizure Detection Based on Time-frequency Analysis and Artificial Neural Networks
, vol.2007
, pp. 80510
-
-
Tzallas, A.T.1
Tsipouras, M.G.2
Fotiadis, D.I.3
-
9
-
-
44949265237
-
Epileptic EEG detection using neural networks and post-classification
-
Patnaik, L. M., and Manyam, O. K., Epileptic EEG detection using neural networks and post-classification. Comput. Methods Programs Biomed. 91:100-109, 2008.
-
(2008)
Comput. Methods Programs Biomed.
, vol.91
, pp. 100-109
-
-
Patnaik, L.M.1
Manyam, O.K.2
-
10
-
-
22144480299
-
Epileptic seizure detection using dynamic wavelet network
-
DOI 10.1016/j.eswa.2005.04.007, PII S0957417405000606
-
Subasi, A., Epileptic seizure detection using dynamic wavelet network. Expert Systems Appl. 29:343-355, 2005. (Pubitemid 40982998)
-
(2005)
Expert Systems with Applications
, vol.29
, Issue.2
, pp. 343-355
-
-
Subasi, A.1
-
11
-
-
61849113679
-
Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients
-
August 20-24
-
Ebrahimi, F., Mikaeili, M., Estrada, E., Nazeran, H., Member, S., Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients. 30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada, August 20-24, 2008.
-
(2008)
30th Annual International IEEE EMBS Conference Vancouver, British Columbia, Canada
-
-
Ebrahimi, F.1
Mikaeili, M.2
Estrada, E.3
Nazeran, H.4
Member, S.5
-
12
-
-
33751396389
-
EEG signal classification using wavelet feature extraction and a mixture of expert model
-
DOI 10.1016/j.eswa.2006.02.005, PII S0957417406000844
-
Subasi, A., EEG signal classification using wavelet feature extraction and a mixture of expert model. Expert Systems Appl. 32:1084-1093, 2007. (Pubitemid 44821797)
-
(2007)
Expert Systems with Applications
, vol.32
, Issue.4
, pp. 1084-1093
-
-
Subasi, A.1
-
13
-
-
34047151860
-
Elman neural networks for dynamic modeling of epileptic EEG
-
Aug 30-Sept 3
-
Kannathal, N., Puthusserypady, S. K., Min, L. C., Elman neural networks for dynamic modeling of epileptic EEG. Proceedings of the 28th IEEE EMBS Annual International Conference New York City, USA, Aug 30-Sept 3, 2006.
-
(2006)
Proceedings of the 28th IEEE EMBS Annual International Conference New York City, USA
-
-
Kannathal, N.1
Puthusserypady, S.K.2
Min, L.C.3
-
14
-
-
16844376435
-
Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application
-
DOI 10.1016/j.compbiomed.2004.05.001
-
Kiymik, K., İnan, G., Dizibüyük, A., and Akin, M., Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real time application. Comput. Biol. Med. 35(7):603-616, 2004. (Pubitemid 40487489)
-
(2005)
Computers in Biology and Medicine
, vol.35
, Issue.7
, pp. 603-616
-
-
Kiymik, M.K.1
Guler, I.2
Dizibuyuk, A.3
Akin, M.4
-
15
-
-
17744374301
-
Classification of EEG signals using neural network and logistic regression
-
DOI 10.1016/j.cmpb.2004.10.009
-
Subasi, A., and Erçelebi, E., Classification of EEG Signals Using Neural Network and Logistic Regression. Comput. Methods Programs Biomed. 78(2):87-99, 2005. (Pubitemid 40575687)
-
(2005)
Computer Methods and Programs in Biomedicine
, vol.78
, Issue.2
, pp. 87-99
-
-
Subasi, A.1
Ercelebi, E.2
-
16
-
-
34047120243
-
-
Biomedical Signal and Image Processing Laboratory (BiSIPL), Sharif University of Technology, Tehran. Iran
-
Mohseni, H. R., Maghsoudi, A., Shamsollahi, B., Seizure detection in EEG signals: A comparison of different approaches. Biomedical Signal and Image Processing Laboratory (BiSIPL), Sharif University of Technology, Tehran. Iran, 2006.
-
(2006)
Seizure Detection in EEG Signals: A Comparison of Different Approaches
-
-
Mohseni, H.R.1
Maghsoudi, A.2
Shamsollahi, B.3
-
17
-
-
34547652398
-
EEG signal classification using wavelet feature extraction and neural networks
-
DOI 10.1109/JVA.2006.17, 4022049, Proceedings - IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, JVA 2006
-
Jahankhani, P., Kodogiannis, V., Revett, C., EEG signal classification using wavelet feature extraction and neural networks. IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) pp. 120-124, 2006. (Pubitemid 47214043)
-
(2006)
Proceedings - IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, JVA 2006
, pp. 120-124
-
-
Jahankhani, P.1
Kodogiannis, V.2
Revett, K.3
-
18
-
-
17844371713
-
Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients
-
DOI 10.1016/j.eswa.2004.12.027, PII S0957417404001745
-
Subasi, A., Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients. Expert Systems Appl. 28:701-711, 2005. (Pubitemid 40583848)
-
(2005)
Expert Systems with Applications
, vol.28
, Issue.4
, pp. 701-711
-
-
Subasi, A.1
-
19
-
-
33846903882
-
A Mixture of experts network structure for EEG signals classification
-
September 1-4
-
Güler, İ., Übeyli, E. D., Güler, N. F., A Mixture of experts network structure for EEG signals classification. Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005.
-
(2005)
Engineering in Medicine and Biology 27th Annual Conference Shanghai, China
-
-
Güler, I.1
Übeyli, E.D.2
Güler, N.F.3
-
20
-
-
0029379261
-
Determining mental state from EEG signals using neural networks
-
Anderson, C. W., Devulapalli, S. V., and Stolz, E. A., Determining mental state from EEG signals using neural networks. Sci. Program. 4:171-183, 1995.
-
(1995)
Sci. Program.
, vol.4
, pp. 171-183
-
-
Anderson, C.W.1
Devulapalli, S.V.2
Stolz, E.A.3
-
21
-
-
2142771128
-
-
Neural Networks, http://www.doc.ic.ac.uk∼nd/surprise-96/Journal/vol4/ cs11/report.html, 2007.
-
(2007)
Neural Networks
-
-
-
22
-
-
78650263676
-
An introduction to wavelet theory and analysis
-
NM, October: 1-25
-
Miner, N. E., An introduction to wavelet theory and analysis. Sandia Report, NM, October: 1-25, 1998.
-
(1998)
Sandia Report
-
-
Miner, N.E.1
-
24
-
-
0027641902
-
Monitoring drill conditions with wavelet based encoding and neural networks
-
DOI 10.1016/0890-6955(93)90092-9
-
Tansel, I. N., Mekdeci, C., Rodriguez, O., and Uragun, B., Monitoring drill conditions with wavelet based encoding and neural networks. Int. J. Mach. Tools Manufact 33(4):559-575, 1993. (Pubitemid 23673147)
-
(1993)
International Journal of Machine Tools and Manufacture
, vol.33
, Issue.4
, pp. 559-575
-
-
Tnasel Ibrahim Nur1
Mekdeci Christine2
Rodriguez Oscar3
Uragun Balemir4
-
26
-
-
26944458497
-
Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
-
DOI 10.1016/j.jneumeth.2005.04.013, PII S0165027005001172
-
Güler, İ., and Übeyli, E. D., Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients. J. Neurosci. Methods 148:113-121, 2005. (Pubitemid 41476221)
-
(2005)
Journal of Neuroscience Methods
, vol.148
, Issue.2
, pp. 113-121
-
-
Guler, I.1
Ubeyli, E.D.2
-
27
-
-
34547682093
-
Applying artificial neural networks to the diagnosis of organic dyspepsia
-
DOI 10.1177/0962280206071839
-
García-Altés, A., Santín, D., and Barenys, M., Applying artificial neural networks to the diagnosis of organic dyspepsia. Stat. Methods Med. Res. 16:331-346, 2007. (Pubitemid 47215257)
-
(2007)
Statistical Methods in Medical Research
, vol.16
, Issue.4
, pp. 331-346
-
-
Garcia-Altes, A.1
Santin, D.2
Barenys, M.3
-
28
-
-
77954391575
-
Studies on the application of different ANNs to predict permeate flux in rotating disk membrane modules: A case study with MATLAB™
-
Bhattacharjee, C., Sen, D., Sarkar, P., Data, S., and Bhattacharya, P. K., Studies on the application of different ANNs to predict permeate flux in rotating disk membrane modules: A case study with MATLAB™. Desalination and Water Treatment 2:170-184, 2009.
-
(2009)
Desalination and Water Treatment
, vol.2
, pp. 170-184
-
-
Bhattacharjee, C.1
Sen, D.2
Sarkar, P.3
Data, S.4
Bhattacharya, P.K.5
-
29
-
-
84878673306
-
-
Germany: Bonn University
-
Andrzejak, R. G., Lehnertz, K., Rieke, C., Mormann, F., David, P., Elger, C. E., Klinik für Epileptologie. http://www.epileptologie-bonn.de/cms/ front-content.php?idcat=193, Germany: Bonn University, 2001.
-
(2001)
Klinik für Epileptologie
-
-
Andrzejak, R.G.1
Lehnertz, K.2
Rieke, C.3
Mormann, F.4
David, P.5
Elger, C.E.6
-
30
-
-
46149087741
-
Analysis of principal component analysis-based and fisher discriminant analysis-based face recognition algorithms
-
13-14 November
-
Naz, E., Farooq, U., Naz, T., Analysis of principal component analysis-based and fisher discriminant analysis-based face recognition algorithms. 2nd International Conference on Emerging Technologies Peshawar, Pakistan, 13-14 November 2006.
-
(2006)
2nd International Conference on Emerging Technologies Peshawar, Pakistan
-
-
Naz, E.1
Farooq, U.2
Naz, T.3
-
31
-
-
33646023117
-
An introduction to ROC analysis
-
Fawcett, T., An introduction to ROC analysis. Pattern Recognit. Lett. 27:861-874, 2006.
-
(2006)
Pattern Recognit. Lett.
, vol.27
, pp. 861-874
-
-
Fawcett, T.1
-
32
-
-
0018079655
-
Basic principles of ROC analysis
-
Metz, C. E., Basic principles of ROC analysis. Sem Nuc Med. 283-298, 1978. (Pubitemid 9075026)
-
(1978)
Seminars in Nuclear Medicine
, vol.8
, Issue.4
, pp. 283-298
-
-
Metz, C.E.1
|