Analysis of EEG Signal using Wavelet Transform and SVM Classifier |
Author(s): |
| Chirag , Guru Jambheswar University Of Science And Technology, Hisar, Haryana 125001, India; Sanjeev Kumar Dhull, Guru Jambheswar University Of Science And Technology, Hisar, Haryana 125001, India |
Keywords: |
| EEG, PLN, EBA, EBA, EMA, RA |
Abstract |
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Electroencephalogram (EEG) signals are used to measure the brain activity. For analyzing the EEG signal various transform methods are used. This paper is devoted to the use of wavelet transform i.e. db1-db4 and SVM classifier is employed for calculating the accuracy. In this paper, we calculate the accuracy of the input signal using wavelet transform, also calculate the features of the signal i.e. energy and entropy. |
Other Details |
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Paper ID: IJSRDV4I80058 Published in: Volume : 4, Issue : 8 Publication Date: 01/11/2016 Page(s): 70-73 |
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