Human Brain signal Analysis: Juvenile Myoclonic Epilepsy Diagnosis by Electroencephalograph

Authors

  • M. A. Fkirin  Head of the Department of Industrial Electronic and Control Engineering, Faculty of Electronic Engineering, Menofiea University
  • N. A. Aziz  B.Sc. in Industrial Electronic and control Engineering, Faculty of Electronic Engineering, Menofiea University 2008
  • S. Badawy  Lecture in the Department of Industrial Electronic and Control Engineering, Faculty of Electronic Engineering, Menofiea University

Keywords:

Electroencephalogram, Juvenile Myoclonic Epilepsy, Digital Signal Processing, Power Spectrum Analysis, Welch Periodogram, Absolute Power, Relative Power

Abstract

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.

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International Journal of Scientific Research in Science and Technology

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Published

2015-12-25

Issue

Volume 1, Issue 5, November-December-2015

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Research Articles

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How to Cite

[1]
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), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 1, Issue 5, pp.302-306, November-December-2015.