-
1
-
-
0016128650
-
A glossary of terms most commonly used by clinical electroencephalographs
-
Chatrian E., Bergamini L., Dondey M., Klass D.W., Lennox-Buchthal M., Petersen I. A glossary of terms most commonly used by clinical electroencephalographs. Electroencephalogr. Clin. Neurophysiol. 37:1974;538-548
-
(1974)
Electroencephalogr. Clin. Neurophysiol.
, vol.37
, pp. 538-548
-
-
Chatrian, E.1
Bergamini, L.2
Dondey, M.3
Klass, D.W.4
Lennox-Buchthal, M.5
Petersen, I.6
-
2
-
-
0029256646
-
Wavelet preprocessing for automated neural network detection of EEG spikes
-
Kalayci T., Özdamar Ö. Wavelet preprocessing for automated neural network detection of EEG spikes. IEEE Eng. Med. Biol. 14(2):1995;160-166
-
(1995)
IEEE Eng. Med. Biol.
, vol.14
, Issue.2
, pp. 160-166
-
-
Kalayci, T.1
Özdamar, Ö.2
-
5
-
-
0016328325
-
Quantification of abnormal EEG spike characteristics
-
Ktonas P.Y., Smith J.R. Quantification of abnormal EEG spike characteristics. Comput. Biol. Med. 4:1974;157-163
-
(1974)
Comput. Biol. Med.
, vol.4
, pp. 157-163
-
-
Ktonas, P.Y.1
Smith, J.R.2
-
6
-
-
0017091353
-
Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG
-
Gotman J., Gloor P. Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG. Electroencephalogr. Clin. Neurophysiol. 41:1976;513-529
-
(1976)
Electroencephalogr. Clin. Neurophysiol.
, vol.41
, pp. 513-529
-
-
Gotman, J.1
Gloor, P.2
-
7
-
-
0025915841
-
State-dependent spike detection: Concepts and preliminary results
-
Gotman J., Wang L.Y. State-dependent spike detection. concepts and preliminary results Electroencephalogr. Clin. Neurophysiol. 79:1991;11-19
-
(1991)
Electroencephalogr. Clin. Neurophysiol.
, vol.79
, pp. 11-19
-
-
Gotman, J.1
Wang, L.Y.2
-
9
-
-
0017801079
-
A new approach to spike detection using a combination of inverse and matched filter techniques
-
Pfurtscheller G., Fischer G. A new approach to spike detection using a combination of inverse and matched filter techniques. Electroencephalogr. Clin. Neurophysiol. 44:1977;243-247
-
(1977)
Electroencephalogr. Clin. Neurophysiol.
, vol.44
, pp. 243-247
-
-
Pfurtscheller, G.1
Fischer, G.2
-
10
-
-
0021799864
-
Automatic recognition and characterization of epileptiform discharges in human EEG
-
Frost D. Automatic recognition and characterization of epileptiform discharges in human EEG. J. Clin. Neurophysiol. 2(3):1985;231-249
-
(1985)
J. Clin. Neurophysiol.
, vol.2
, Issue.3
, pp. 231-249
-
-
Frost, D.1
-
11
-
-
0024661616
-
Context-based automated detection of epileptogenic sharp transients in the EEG: Elimination of false positives
-
Glover R., Raghavan N., Ktonas P.Y., Frost J.D. Context-based automated detection of epileptogenic sharp transients in the EEG. elimination of false positives IEEE Trans. Biomed. Eng. 36(5):1989;519-527
-
(1989)
IEEE Trans. Biomed. Eng.
, vol.36
, Issue.5
, pp. 519-527
-
-
Glover, R.1
Raghavan, N.2
Ktonas, P.Y.3
Frost, J.D.4
-
12
-
-
0026675081
-
Automated interictal EEG spike detection using artificial neural networks
-
Gabor A.J., Seyal M. Automated interictal EEG spike detection using artificial neural networks. Electroencephalogr. Clin. Neurophysiol. 83:1992;271-280
-
(1992)
Electroencephalogr. Clin. Neurophysiol.
, vol.83
, pp. 271-280
-
-
Gabor, A.J.1
Seyal, M.2
-
13
-
-
0032273168
-
An EEG spike detection algorithm using ANN with multi-channel correlation
-
C.W. Ko, Y.D. Lin, H.W. Chang, G.J. Jan, An EEG spike detection algorithm using ANN with multi-channel correlation, Proceedings of the 20th Annual International Conference Of the IEEE Engineering in Med and Biol Society, Vol. 20(4) (1998), pp. 2070-2073.
-
(1998)
Proceedings of the 20th Annual International Conference of the IEEE Engineering in Med and Biol Society
, vol.20
, Issue.4
, pp. 2070-2073
-
-
Ko, C.W.1
Lin, Y.D.2
Chang, H.W.3
Jan, G.J.4
-
14
-
-
0034095166
-
Detection of characteristic waves of sleep EEG by neural network analysis
-
Shimada T., Shiina T., Saito Y. Detection of characteristic waves of sleep EEG by neural network analysis. IEEE Trans. Biomed. Eng. 47(3):2000;369-379
-
(2000)
IEEE Trans. Biomed. Eng.
, vol.47
, Issue.3
, pp. 369-379
-
-
Shimada, T.1
Shiina, T.2
Saito, Y.3
-
15
-
-
0034092592
-
Automatic spike detection via an artificial neural network using raw EEG data: Effect of data preparation and implications in the limitations of online recognition
-
Ko C.W., Chung H.W. Automatic spike detection via an artificial neural network using raw EEG data. effect of data preparation and implications in the limitations of online recognition Clin. Neurophysiol. 111:2000;477-481
-
(2000)
Clin. Neurophysiol.
, vol.111
, pp. 477-481
-
-
Ko, C.W.1
Chung, H.W.2
-
16
-
-
0033013590
-
Multifold features determine linear equation for automatic spike detection applying neural nin interictal EcoG
-
Hellmann G. Multifold features determine linear equation for automatic spike detection applying neural nin interictal EcoG. Clin. Neurophysiol. 110:1999;887-894
-
(1999)
Clin. Neurophysiol.
, vol.110
, pp. 887-894
-
-
Hellmann, G.1
-
17
-
-
0024322192
-
The validation of a new ambulatory spike and wave monitor
-
Besag F.M.C., Mills M., Wardale F., Andrew C.M., Craggs M.D. The validation of a new ambulatory spike and wave monitor. Electroencephalogr. Clin. Neurophysiol. 73:1989;157-164
-
(1989)
Electroencephalogr. Clin. Neurophysiol.
, vol.73
, pp. 157-164
-
-
Besag, F.M.C.1
Mills, M.2
Wardale, F.3
Andrew, C.M.4
Craggs, M.D.5
-
18
-
-
0031959244
-
Detection of spikes with artificial neural networks using raw EEG
-
Özdamar Ö., Kalayci T. Detection of spikes with artificial neural networks using raw EEG. Comput. Biomed. Res. 31:1998;122-142
-
(1998)
Comput. Biomed. Res.
, vol.31
, pp. 122-142
-
-
Özdamar, Ö.1
Kalayci, T.2
-
19
-
-
84887252594
-
Support vector method for function approximation, regression estimation, and signal processing
-
MIT Press, Cambridge, MA
-
V. Vapnik, S. Golowich, A. Smola, Support vector method for function approximation, regression estimation, and signal processing, Advances in Neural Information Processing Systems, 9, MIT Press, Cambridge, MA (1997), pp. 281-287.
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 281-287
-
-
Vapnik, V.1
Golowich, S.2
Smola, A.3
-
20
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
ACM Press, New York
-
B. Boser, I. Guyon, V. Vapnik, A training algorithm for optimal margin classifiers, Fifth Annual Workshop on Computational Learning Theory, ACM Press, New York, 1992, pp. 144-152.
-
(1992)
Fifth Annual Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.1
Guyon, I.2
Vapnik, V.3
-
27
-
-
0027770741
-
Automatic EEG spike detection: What should the computer imitate
-
Webber W.R.S., Litt B., Lesser R.P., Fisher R.S., Bankman I. Automatic EEG spike detection. what should the computer imitate Electroencephalogr. Clin. Neurophysiol. 87:1993;364-373
-
(1993)
Electroencephalogr. Clin. Neurophysiol.
, vol.87
, pp. 364-373
-
-
Webber, W.R.S.1
Litt, B.2
Lesser, R.P.3
Fisher, R.S.4
Bankman, I.5
|