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Intelligent Technique to Identify Epilepsy Captures Using Fuzzy System

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Computational Intelligence Techniques in Diagnosis of Brain Diseases

Abstract

In the new direction of understand the signal that is created from the brain organization is one of the main choresĀ in the brain signal processing.

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References

  1. RabbiĀ AF, Fazel-Rezai R (2012) Fuzzy logic system for seizure onset detection in intracranial EEG, pp 1ā€“7

    Google ScholarĀ 

  2. Dā€™AlessandroM, Esteller R, Vachtsevanos G, Hinson A, Echauz J, Litt B (2003) Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients, pp 603ā€“615

    Google ScholarĀ 

  3. Nandy S, Sarkar PP, Das A (2012) Analysis of a nature inspired firefly-algorithm based back propagation neural network training, pp 1ā€“8

    Google ScholarĀ 

  4. Guerrero Mosquera C, Trigueros AM, Navia Vazquez A (2012) EEG signal processing for epilepsy, pp 49ā€“74

    Google ScholarĀ 

  5. Lotte F, Congedo M, LĆ©cuyer A, Lamarche F, Arnaldi B (2007) A review of classification algorithm for EEG-based brain-computer interfaces, pp 1ā€“23

    Google ScholarĀ 

  6. Pal SK, Rai CS, Singh AP (2012) Comparative study of firefly algorithm and particle swarm optimization for noisy non linear optimization problems, pp 50ā€“57

    Google ScholarĀ 

  7. Jitpakdee P, Aimmanee P, Uyyanonvara B (2014) Image cluster using fuzzy based firefly algorithm, pp 1ā€“8

    Google ScholarĀ 

  8. Izakian H, Abraham A (2011) Fuzzy C-means and fuzzy swarm clustering problem expert system with application, pp 1835ā€“1838

    Google ScholarĀ 

  9. Runkler TA, Katz C (2006) Fuzzy clustering by particle swarm optimization. In: Proceedings of 2006 IEEE international conference on fuzzy systems, Canada, pp 601ā€“608

    Google ScholarĀ 

  10. Yang XS (2010) Firefly algorithm, ā€œStochastic test functions and design optimizationā€. Int J Bio-Insp Comput 2:78ā€“84

    Google ScholarĀ 

  11. Yang XS (2008) Nature-inspired metaheuristic algorithm, Luniver Press, pp 741ā€“751

    Google ScholarĀ 

  12. Senthilnath J, Omkar SN, Mani V (2011) Clustering using firefly algorithm: performance study, pp 164ā€“171

    Google ScholarĀ 

  13. EEG database: seizure prediction project Freilburg http://epilepsy.uni-freiburg.de/freiburg-seizure-prediction-project/eeg-database

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Correspondence to Sasikumar Gurumoorthy .

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Gurumoorthy, S., Muppalaneni, N.B., Gao, XZ. (2018). Intelligent Technique to Identify Epilepsy Captures Using Fuzzy System. In: Computational Intelligence Techniques in Diagnosis of Brain Diseases. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-10-6529-3_4

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  • DOI: https://doi.org/10.1007/978-981-10-6529-3_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6528-6

  • Online ISBN: 978-981-10-6529-3

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