The 7 linked references in paper P. Sotnikov I., П. Сотников И. (2016) “Выделение характерных признаков сигнала электроэнцефалограммы с помощью анализа энтропии // Entropy Analysis as an Electroencephalogram Feature Extraction Method” / spz:neicon:technomag:y:2014:i:1:p:555-570

  1. Kalcher J., Pfurtscheller G. Discrimination between phase-locked and non-phase-locked event-related EEG activity // Electroencephalography and Clinical Neurophysiology. 1995. Vol. 94, no. 5. P. 381-384. DOI: 10.1016/0013-4694(95)00040-6
  2. Pfurtscheller G., Lopes da Silva F.H. Event-related EEG/MEG synchronization and desynchronization: basic principles // Clinical Neurophysiology. 1999. Vol. 110, iss. 11. P. 1842-1857. DOI: 10.1016/S1388-2457(99)00141-8
  3. Xu B., Song A. Pattern Recognition of Motor Imagery EEG using Wavelet Transform // Journal of Biomedical Science and Engineering. 2008. Vol. 1, no. 1. P. 64-67. DOI: 10.4236/jbise.2008.11010
  4. Blankertz B., Tomioka R., Lemm S., Kawanabe M., Muller K.-R. Optimizing Spatial Filters for Robust EEG Single-Trial Analysis // IEEE Signal Processing Magazine. 2008. Vol. 25, iss. 1. P. 41-56. DOI: 10.1109/MSP.2008.4408441
  5. Zhang D., Wang Y., Gao X. An Algorithm for Idle-State Detection in Motor-Imagery-Based Brain-Computer Interface // Computational Intelligence and Neuroscience. 2007. Vol. 2007. Art. no. ID 39714. DOI: 10.1155/2007/39714
  6. Oskoei M.A., Hu H. Support vector machine-based classification scheme for myoelectric control applied to upper limb // IEEE Transactions on Biomedical Engineering. 2008. Vol. 55, no. 8. P. 1956-1965. DOI: 10.1109/TBME.2008.919734
  7. Chen P.H., Lin C.J., Scholkopf B. A tutorial on ν-support vector machines // Applied Stochastic Models in Business and Industry. 2005. Vol. 21, iss. 2. P. 111-136. DOI: 10.1002/asmb.537