Brain Computer Interface

For study the FFT of periodic and EEG signal program is written in the matlab by using the signal processing function FFT. The FFT of periodic signal shows the different for the sine, square, triangular, swatooth signals. FFT of EEG signal shows that the frequency components present in that signal. The algorithm of this periodic signal program is given bellow. Algorithm For the periodic signal i) Create a periodic signal using signal processing functions. ii) Mention the sampling frequency iii) Give the amplitude and frequency of the periodic signal iv) Pot that signal v) Take the FFT of the input signal vi) Plot the half of the sampling frequency components for the x axis. vii) Plot the FFT of the signal frequency verses amplitude. For the EEG signal i) First read EEG input data from the .xls file. ii) Give the sampling frequency given when recording the EEG signal. iii) Plot the EEG signal. iv) Take the FFT of the EEG signal. v) Plot the half of the sampling ...

Study of brain computer interfacing using fourier transform starting from the study FFT of Periodic signal such as sine, square, triangular, swatooth. For the study FFT start from the basic periodic signal is good work. When study of periodic signal is understood completely then start the Fourier transform of the EEG signal. The Fourier transform of EEG signal is important for the detecting the actual frequency components from the signal. After that the separating frequency spectrum bands from EEG signal design the band pass filters for each band. Next step of the study is calculate the amplitude mean of the each frequency spectrum band of the EEG signal, from that we can detect which channel of the brain in dominant. However we can detect which part of the brain is in currently working state. To prove this result analyses the EEG signal of different task given for the subject using the different electrode montage.