EEG Signal Analyzing and Simulation Under Computerized Technological Support

  • Authors

    • Rohith V
    • Prajitha T.V
    • Sweety Suresh
    2018-07-07
    https://doi.org/10.14419/ijet.v7i3.8.15215
  • EEG (Electroencephalogram), DWT (discrete wavelet transform), WT (Wavelet transform).

  • 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.

     

     

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  • How to Cite

    V, R., T.V, P., & Suresh, S. (2018). EEG Signal Analyzing and Simulation Under Computerized Technological Support. International Journal of Engineering & Technology, 7(3.8), 38-41. https://doi.org/10.14419/ijet.v7i3.8.15215

    Received date: 2018-07-06

    Accepted date: 2018-07-06

    Published date: 2018-07-07