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A Novel Method for Epileptic EEG Classification Using DWT, MGA, and ANFIS: A Real Time Application to Cardiac Patients with Epilepsy

  • Mohanty Madhusmita
  • Basu Mousumi
  • Pattanayak Deba Narayan
  • Mohapatra Sumant Kumar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

The automatic diagnosis of heart patients with epilepsy by reviewing the EEG recording is highly necessary. It aims to enhance the significant statistical parameters. In this paper a composite method is proposed for seizure classification of cardiac patients. Firstly DWT is employed to analyze the EEG data and obtain the time and frequency domain features. Second, the extracted features were inputted to the ANFIS network to classify the seizure EEG and seizure free EEG signals. Third to improve the statistical performances a modified genetic algorithm (MGA) is used to optimize the classifiers. Sensitivity (SEN), Specificity (SPE), Accuracy (ACC), metric G-mean and Average detection Ratio (ADR) is used to evaluate the performance of this method. The SEN of 99.73%, SPE of 99.12%, ACC of 99.35%, G-mean 99.42% and ADR of 99.43% are yielded on the real patient specific EEG database. The comparison with other detection methods shows the superior performance of this method, which indicates its potential for detecting seizure events in clinical practice of heart patients.

Keywords

EEG Epilepsy DWT MGA ANFIS 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mohanty Madhusmita
    • 1
  • Basu Mousumi
    • 2
  • Pattanayak Deba Narayan
    • 3
  • Mohapatra Sumant Kumar
    • 4
  1. 1.Department of Electronics and Communication EngineeringGandhi Engineering CollegeMadanpurIndia
  2. 2.Department of Power EngineeringJadavpur University, Saltlake CampusKolkataIndia
  3. 3.Department of Electrical and Electronics EngineeringTrident Academy of TechnologyBhubaneswarIndia
  4. 4.Department of Electronics and Telecom EngineeringTrident Academy of TechnologyBhubaneswarIndia

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