Acquiring and processing of female EEG signals of various wrist movements for neuro prosthetic applications

  • Authors

    • Umashankar G.
    • Vimala Juliet
    • Sheeba Santhosh
    2018-05-03
    https://doi.org/10.14419/ijet.v7i2.25.20497
  • Electroencephalograph, flexion, Extension, fast fourier transform, classifier.

  • Abstract

    Human brain contain neurons which generate electrical signals, this can be recorded through electro encephalograph(EEG). Sensory motor cortices are  responsible for motor activity i.e., various body movements, among which wrist movement reveals frequency change in Alpha & Beta bands of EEG signal. The aim of this approach is to calculate frequency changes responsible for various wrist movements such as flexion, extension, clockwise rotation and anticlockwise rotation, pronation and supination of female in both eyes open and eyes close conditions using FFT, wavelet transform classifier, where the largest set of EEG data is reduced to dimensions and the spectral frequencies for particular wrist movements are classified and the statistical analysis is done of various trials for both eyes open and eyes close conditions in both time domain and frequency domain and the mean and standard deviation of various trials will be compared for eyes open and eyes close condition in both time domain and frequency domain and these values can be implemented for neuro prosthetic applications.

     

     

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  • How to Cite

    G., U., Juliet, V., & Santhosh, S. (2018). Acquiring and processing of female EEG signals of various wrist movements for neuro prosthetic applications. International Journal of Engineering & Technology, 7(2.25), 154-159. https://doi.org/10.14419/ijet.v7i2.25.20497

    Received date: 2018-09-29

    Accepted date: 2018-09-29

    Published date: 2018-05-03