- 期刊
- OpenAccess
Detection of Epilepsy from EEG Signal During Seizure Using Entropy-Based Fuzzy c-Means
並列摘要
One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzzy c-Means is used to cluster EEG signal of patients during an epileptic seizure. We obtained signatures of general epilepsy by superimposing results of the method.
延伸閱讀
- TahirAhmad, Ghanbari, M., Askaripour, M., & Behboodiyan, N. (2012). Detection of Epilepsy from EEG Signal during Seizure Using Heuristic Algorithm of Fixed Point Iterations. Research Journal of Applied Sciences, Engineering and Technology, 4(19), 3584-3587. https://www.airitilibrary.com/Article/Detail?DocID=20407467-201210-201512070007-201512070007-3584-3587
- Alotaiby, T. N., Alshebeili, S. A., Alotaibi, F. M., & Alrshoud, S. R. (2017). Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals. Computational Intelligence and Neuroscience, 2017(), 1-11. https://doi.org/10.1155/2017/1240323
- Shen, C. P. (2013). Cloud-based Epileptic Seizure Detection System Using a Multi-Channel EEG Classification [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2013.02540
- Liu, J. (2016). Epilepsy Detection Using EEG with Different Time Frames. Advances in Biomedical Engineering Research, 4(), 18-22. https://doi.org/10.14355/aber.2016.04.003
- Sarhan, A. M. (2017). Epileptic Seizure Detection in EEG using Support Vector Machines and Statistical Analysis. Research Journal of Mathematics and Statistics, 9(2), 26-33. https://doi.org/10.19026/rjms.9.5066