Embedded Fuzzy Classifier for Detection and Classification of Preseizure state using Real EEG data

Embedded Fuzzy Classifier for Detection and Classification of Preseizure state using Real EEG data

This paper presents a classification technique using Fuzzy Logic Inference System to identify and predict the partial seizure from the epileptic EEG data. The presented work covers the initial findings related to some of the brain conditions in different scenarios so that the detection system can pr...

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Bibliographic Details
Main Authors: Qidwai, Uvais, Malik, Aamir Saeed, Shakir, Mohamed
Other Authors: Goh, James
Format: Book Section
Published: Springer International Publishing 2014
Subjects:
Q Science (General)
T Technology (General)
Online Access:http://eprints.utp.edu.my/11428/1/Embedded%20Fuzzy%20Classifier%20for%20Detection%20and%20Classification%20of%20Preseizure%20state%20using%20Real%20EEG%20data%20-%20Paper.pdf
http://eprints.utp.edu.my/11428/
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Institution: Universiti Teknologi Petronas

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http://eprints.utp.edu.my/11428/1/Embedded%20Fuzzy%20Classifier%20for%20Detection%20and%20Classification%20of%20Preseizure%20state%20using%20Real%20EEG%20data%20-%20Paper.pdf
http://eprints.utp.edu.my/11428/

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