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EEG SIGNAL ANALYSIS

INTRODUCTION:
Nowadays new technologies are arriving to tack care of our health. Brain abnormal condition can detect using EEG signal. Brain disease is a very critical condition and should take proper treatment. First we have to analyses our brain whether it is normal or abnormal. So I implement very good and efficient method of EEG signal processing in MATLAB. Here I explained each procedure.

Step by Step Process:
1. Get EEG signal through electrodes. Electrodes pick the signal which is generate by neurons. Use COM Port of serial communication to send the signal to MATLAB.

2. Split up the signal in to 4 waves(Alpha, Beta, Gamma, Theta): Use wavelet Decomposition. This MATLAB function extracts the detail coefficients at level N from the wavelet decomposition structure [C,L].
2. Signal Pre - Processing : Pre - processing means remove unwanted noise and power interference using Butterworth filter. It has orders for filter the noise up to six. So it completely remove all the noises .

3. Take FFT to signal for identify the each frequency level. Fast Fourier Transform is to analyze the each and every frequency range.

4. Based on FFT , Calculate the ranges of signal and can easily detect the abnormal condition.

About the Author

Sudhakaran

 sudhakaran@iesolution.in

 December 02, 2017



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