EEG Signal Analyzing and Simulation Under Computerized Technological Support

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Electroencephalogram (EEG) is a method for acquiring the brain signals for diagnostic purposes. It tracks and records the brain wave patterns. This is a non-invasive technique. The idea behind is to categorize the EEG signal based on the frequency range. The steps include collecting EEG signals, pre-processing, feature extraction, feature selection and classification. The pre-processing eliminates the noises from the signal. EEG signal can be disintegrated by using discrete wavelet transform. The feature extraction methods are used to obtain the time-domain features of the EEG signal. Finally, the classification method determines the variations in the mental state of the person.

     

     

  • Keywords


    EEG (Electroencephalogram), DWT (discrete wavelet transform), WT (Wavelet transform).

  • References


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Article ID: 15215
 
DOI: 10.14419/ijet.v7i3.8.15215




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