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

A Classification technique using Fuzzy Logic Inference System to identify and predict the partial seizure from the epileptic EEG data along with preliminary brain conditions in different scenarios is presented in this paper. This detection system can produce warning signals for epileptic seizures. E...

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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 2013
Subjects:
Q Science (General)
R Medicine (General)
T Technology (General)
Online Access:http://eprints.utp.edu.my/10974/1/Embedded%20Fuzzy%20Classifier%20for%20Detection%20and%20Classification%20of%20Preseizure%20State.pdf
http://dx.doi.org/10.1007/978-3-319-02913-9_105
http://eprints.utp.edu.my/10974/
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Institution: Universiti Teknologi Petronas

Internet

http://eprints.utp.edu.my/10974/1/Embedded%20Fuzzy%20Classifier%20for%20Detection%20and%20Classification%20of%20Preseizure%20State.pdf
http://dx.doi.org/10.1007/978-3-319-02913-9_105
http://eprints.utp.edu.my/10974/

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