Application of Fuzzy Logic for Epileptic Seizure Detection
Abstract
In this work fuzzy logic approach was presented for
epileptic seizure detection. The EEG signal is decomposed into five sub bands using discrete wavelet transforms. Energy, Covariance, Inter quartile Range (IQR), and Median absolute deviation (MAD) features were extracted from each sub band and considered as the inputs for a fuzzy system Fuzzy rules were derived based on expert's knowledge and reasoning .For each sub band fuzzy system is applied the fuzzy output is combined from each sub band and threshold technique is applied to discriminate normal and epileptic. The overall
classification accuracy of 97 %was achieved.
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J. Gotman., “Automatic recognition of epileptic seizures in the EEG,”
Clinical Neurophysiology, vol. 54, pp. 530–540, 1982
J.Gotman., “Automatic seizure detection: improvements and
evaluation,” Clinical Neurophysiology, vol. 76, pp. 317–324, 1990
S.R. Mousavi, M. Nikanazar, B. V. Vahdat, “Epileptic Seizure detection
using AR model on EEG signals”, Cairo International Biomedical
Engineering Conference, (CIBEC), pp. 1 -4, 2008
Y.U. Khan, J. Gotman, “Electroencephalogram Wavelet based automatic
seizure detection iintracerebral”, Clinical Neurophysiology, vol. 114, pp.
-908, 2003
Y Nidal Rafiuddin1Yusuf Uzzaman Khan and Omar Farooq, “Feature
Extraction and Classification of EEG for Automatic Seizure Detection”,
IEEE International Conference on Multimedia, Signal Processing and
Communication Technologies, pp. 184-187, 2011.
Ahmad Mirzaei, Ahmad Ayatollahi, Hamed Vavadi " Statistical analysis
of epileptic activities based on histogram and wavelet-spectral entropy"
J. Biomedical Science and Engineering, 2011, 4, 207-213
EEG time timeseries (epilepticdata)(2005,Nov.)
[Online],http://www.meb.unibonn.de/epileptologie/science/physik/eegda
ta.html
R.Harikumar, Dr. (Mrs).R.Sukanesh” Fuzzy Techniques for
Classification of Epilepsy risk level in Diabetic Patients Using Cerebral
Blood Flow and Aggregation Operators”
Inan Guler, and Elif Derya Ubeyli" Application of adaptive neuro-fuzzy
inference system for detection of electrocardiographic changes in patients with partial epilepsy using feature extraction" Expert Systems
with Applications 27 (2004) 323–330
Abdulhamit Subasi "Application of adaptive neuro-fuzzy inference
system for epileptic seizure detection using wavelet feature extraction"
Computers in Biology and Medicine 37 (2007)227 – 244
DeqiangLi,Witold Percy and NicolinoJ.Pizzi" "Fuzzy Wavelet Packet
Based Feature Extraction Method and Its Application to Biomedical
Signal Classification" IEEE Transactions On Biomedical
engineering,Vol.52,No.6,June2005
Ahmed F. Rabbi , Ardalan Aarabi, and Reza Fazel-Rezai " Fuzzy Rulebased
Seizure Prediction based on Correlation Dimension Changes in
Intracranial EEG" 32nd Annual International Conference of the IEEE
EMBSBuenos Aires, Argentina, August 31 - September 4, 2010
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