Epileptic Seizure Classification and Prediction Model Using Fuzzy Logic-Based Augmented Learning

Syeda Noor Fathima, K. Bhanu Rekha, Safinaz S. and Syed Thouheed Ahmed
Additional contact information
Syeda Noor Fathima: Presidency University, India
K. Bhanu Rekha: Presidency University, India
Safinaz S.: Presidency University, India
Syed Thouheed Ahmed: REVA University, India

International Journal of Fuzzy System Applications (IJFSA), 2022, vol. 11, issue 3, 1-15

Abstract: Epileptic Seizure (ES) is an abnormality associated with discharging of continues electric impulses from the instance of normal activity. The period and time interval of occurrence is a challenging task to record and validate. In this article, a focus is made to classify and predict the occurrence ratio of seizer based on augmented learning and fuzzy rules. The Epileptic Seizure datasets are acquired from pre-trained and validated approaches further re-trained using interdependent attributes based on augmented learning and training approach. The outcome of training is further used by fuzzy rules to classify and categorize the Epileptic Seizure based on occurrences series of patterns and time. The proposed technique is a hybrid approach and novel as segmented based learning is used to predict the seizer. The technique has recorded 92.23% accuracy in seizure classification and 89.91% in reliable prediction.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJFSA.306274 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jfsa00:v:11:y:2022:i:3:p:1-15

Access Statistics for this article

International Journal of Fuzzy System Applications (IJFSA) is currently edited by Deng-Feng Li

More articles in International Journal of Fuzzy System Applications (IJFSA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().