• chaitanya anturkar
• Kanchan Kathoute
• Divya Bahadure
• Akash Dudhe
• Dr. P.D. Khandait

EEG signal is measurement of the electrical activity is produced by the neurons network of the brain when brain is formed any mental task. The EEG signal is contains very low frequency components and amplitude so diff. types of noises and artifacts are overlapping with EEG signal like as bottom line wondering, eye blinking, eye movement, breathing etc. EEG signal is complex signal. The doctors and medical researchers are face or interact to great complications to analysis these signals and extract the linear, non-linear information from these biomedical signals. We are filtering the EEG signal by using diff types of filters to remove the unwanted frequency components from the original signal and to extract the features or information about the signal with the assistance of various efficient DSP tools like DFT, FFT, STFT and wavelet transform. Here we are used the FIR band pass Butterworth filter to filter the EEG signal and analysing this filtered signal with the help of FFT. The matlab software tool is used to this work it is easier to mat lab .software because there is programming is not used in MATLAB

EEG (Electroencephalography), FFT (Fast Fourier transform), FIR (Finite impulse response), IIR (Infinite impulse response) and MATLAB

"Analysis of Normal and Epileptic EEG Signal with Filtering Method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.1129-1132, February-2020, Available :http://www.jetir.org/papers/JETIR2002372.pdf

"Analysis of Normal and Epileptic EEG Signal with Filtering Method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp1129-1132, February-2020, Available at : http://www.jetir.org/papers/JETIR2002372.pdf