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Human Brain signal Analysis: Juvenile Myoclonic Epilepsy Diagnosis by Electroencephalograph

Authors(3) :-M. A. Fkirin, N. A. Aziz, S. Badawy

Juvenile Myoclonic Epilepsy recognition and its cognitive effect were investigated through Welch Periodogram analysis of EEG signals. The micro-volt brain delicate signals were measured by our laboratory KL-720 system with Kl-75004 Electroencephalogram module, after careful adjustments. The digital signal processing DSP proved itself through the MATLAB software as useful analyzing tool for the absolute and relative power extracted from EEG power spectrum in different frequency bands. It was the standard method by which Juvenile Myoclonic Epilepsy detected in primarily stage where effective treatment is available. It also indicated that the Juvenile Myoclonic Epilepsy have not any effect on brain cognitive function.
M. A. Fkirin, N. A. Aziz, S. Badawy
Electroencephalogram, Juvenile Myoclonic Epilepsy, Digital Signal Processing, Power Spectrum Analysis, Welch Periodogram, Absolute Power, Relative Power
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Publication Details
  Published in : Volume 1 | Issue 5 | November-December 2015
  Date of Publication : 2015-12-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 302-306
Manuscript Number : IJSRST151437
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
M. A. Fkirin, N. A. Aziz, S. Badawy, "Human Brain signal Analysis: Juvenile Myoclonic Epilepsy Diagnosis by Electroencephalograph", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 1, Issue 5, pp.302-306, November-December-2015
URL : http://ijsrst.com/IJSRST151437