Brain Computer Interface

Many researchers are working on the Brain computer interfacing. They work on different methods of BCI. The analysis of EEG signal is doing by using Fourier transform, Wavelet transform. FFT is good method of analyzing the EEG signal. For the studying FFT of signal firstly study of periodic signal is important because the knowing the actual Theme of FFT. Periodic signals means the period is given to the signal. These signals are sine wave, square wave, triangular and swatooth waves. After that by using FFT study the EEG signal. FFT of EEG signal shows the number of frequency components present in the signal. In the different frequency bands are present such that delta, theta, alpha, beta. For separating these frequency bands band pass filters are designed. Power spectrum density has calculated by taking mean amplitudes present in the frequency bands for each channel. Calculate the frequency spectrum density for all bands, from that PSD showing the dominant part on the brain is possib...

       This dataset was created and contributed to PhysioNet by the developers of the BCI2000 instrumentation system, which they used in making these recordings. Subjects performed different motor/imagery tasks while 64-channel EEG was recorded using the BCI2000 system. Each subject performed 14 experimental runs: two one-minute baseline runs (one with eyes open, one with eyes closed), and three two-minute runs of each of the four following tasks: 1. A target appears on either the left or the right side of the screen. The subject opens and closes the corresponding fist until the target disappears. Then the subject relaxes. 2. A target appears on either the left or the right side of the screen. The subject imagines opening and closing the corresponding fist until the target disappears. Then the subject relaxes. 3. A target appears on either the top or the bottom of the screen. The subject opens and closes either fists (if the target is on top) or both f...