Fuzzy C-Means Clustering and Gaussian Mixture Model for Epilepsy Classification from EEG
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-00665-5_43
Reference17 articles.
1. Harikumar R, Kumar PS (2015) Fuzzy techniques and aggregation operators in classification of epilepsy risk levels for diabetic patients using eeg signals and cerebral blood flow. J Biomater Tissue Eng 5(4): 316–322
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3. Prabhakar SK, Rajaguru H (2015) Analysis of centre tendency mode chaotic modeling for electroencephalography signals obtained from an epileptic patient. Adv Stud Theor Phys 9(4): 171–177, HIKARI Ltd., http://dx.doi.org/10.12988/astp.2015.5117
4. Harikumar R, Kumar PS (2015) Frequency behaviors of electroencephalography signals in epileptic patients from a wavelet thresholding perspective. Appl Math Sci 9(50): 2451–2457, HIKARI Ltd., http://dx.doi.org/10.12988/ams.2015.52135
5. Prabhakar SK, Rajaguru H (2016) Classification of epilepsy risk using variable thresholding based feature extraction technique and suitable post classifiers. Int J Simul Syst Sci Technol (IJSSST) 17(33): 28.1–28.8
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