1. Acharya, U.R., Sree, S.V., Swapna, G., Martis, R.J., Suri, J.S.: Automated eeg analysis of epilepsy: a review. Knowl.-Based Syst. 45, 147–165 (2013)
2. Prasad, M., Lin, C.T., Yang, C.T., Saxena, A.: Vertical Collaborative Fuzzy C-Means for Multiple EEG Data Sets. Springer Lecture notes in Computer Science, vol. 8102, pp. 246–257 (2013)
3. Krajča, V., Petránek, S., Pietilä, T., Frey, H.: Wave-Finder: a new system for an automatic processing of long-term eeg recordings. In: Rother, M., Zwiener, U. (eds.): Quantitative EEG Analysis-Clinical Utility and New Methods. Universitätsverlag GnbH, Jena (1993), pp. 103–106
4. Schaabova, H., Krajca, V., Sedlmajerova, V., Bukhtaieva, O., Petranek, S.: Supervised learning used in automatic EEG graphoelements classification. In: E-Health and Bioengineering Conference (EHB). IEEE (2015), pp. 1–4
5. Krajca, V., Petranek, S., Patakova, I., Varri, A.: Automatic identification of significant graphoelements in multichannel EEG recordings by adaptive segmentation and fuzzy clustering. Int. J. Biomed. Comput. 28(1), 71–89 (1991)