References

Coyle, D., T.M. McGinnity and G. Prasad, 2010. Improving the separability of multiple EEG features for a BCI by neural-time-series-prediction-preprocessing. Biosignal Proces. Control, 5: 196-204.
CrossRef  |  

Fisher, R., W. van Emde Boas, W. Blume, C. Elger, P. Genton, P. Lee and J. Engel Jr., 2005. Epileptic seizures and epilepsy: Definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia, 46: 470-472.
CrossRef  |  PubMed  |  

Huang, G.B., Q.Y. Zhu and C.K. Siew, 2004. Extreme learning machine: A new learning scheme of feed forward neural networks. Proceedings of the International Joint Conference on Neural Networks, June 25-29, 2004, Budapest, Hungary, pp: 985-990.

Huang, G.B., Q.Y. Zhu and C.K. Siew, 2006. Extreme learning machine: Theory and applications. Neurocomputing, 70: 489-501.
CrossRef  |  Direct Link  |  

Ince, N.F., F. Goksu, A.H. Tewfik and S. Arica, 2009. Adapting subject specific motor imagery EEG patterns in space-time-frequency for a brain computer interface. Biomed. Signal Proces. Control, 4: 236-246.
CrossRef  |  Direct Link  |  

Jafari-Khouzani, K. and H. Soltanian-Zadeh, 2003. Multi-wavelet grading of pathological images of prostate. IEEE Trans. Biomed. Eng., 50: 697-704.
PubMed  |  

Jahankhani, P., V. Kodogiannis and K. Revett, 2006. EEG signal classification using wavelet feature extraction and neural networks. Proceedings of the IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, October 3-6, 2006, Sofia, pp: 120-124.

Kalayci, T. and O. Ozdamar, 1995. Wavelet preprocessing for automated neural network detection of EEG spikes. IEEE Eng. Med. Biol., 14: 160-166.
CrossRef  |  

Martin, M. and A. Bell, 2001. New image compression techniques using multiwavelets and multiwavelet packets. IEEE Trans. Image Process., 10: 500-510.
CrossRef  |  PubMed  |  

Mohseni, H., A. Maghsoudi, M.H. Kadbi and J. Hashemi and A. Ashourvan, 2006. Automatc detection of epileptic seizure using time-frequency distributions. Proceedings of the IET 3rd International Conference on Advances in Medical, Signal and Information Processing, July 17-19, 2006, Glasgow, Scotland, UK., pp: 1-4.

Naik, G.R., D.K. Kum and S.P. Arjunan, 2010. Pattern classification of Myo-electrical signal during different maximum voluntary contractions: A study using BSS techniques. Meas. Sci. Rev., Vol. 10. 10.2478/v10048-010-0001-y

Nigam, V.P. and D. Graupe, 2004. A neural-network-based detection of epilepsy. Neurol. Res., 26: 55-60.
PubMed  |  

Oskoei, M.A. and H. Hu, 2007. Myoelectric control systems: A survey. Biomed. Signal Process. Control, 23: 275-294.
CrossRef  |  

Ruiz, R.A.S., R. Ranta and V. Louis-Dorr, 2011. EEG montage analysis in the blind source separation framework. Biosignal Proces. Control, 6: 77-84.
CrossRef  |