The electroencephalogram (EEG) is a recording of the electrical activity of the brain from the scalp. The recorded waveforms reflect the cortical electrical activities. EEG activity is quite small, measured in microvolts (μV). The EEG signal frequency ranges from less than 4 Hz and little higher than 30 Hz. The aim of this paper is to find the relation between the heart rate, blood pressure and the brain activities. The helping tool used for the measuring and the analyzing the EEG signal is called Mindwave head set from Neurosky. The head set is used with its simulation tool in conjunction with Matlab for analyzing the EEG signal. The Matlab is used for the extraction of the EEG frequency components using the FFT Algorithm. The experiment was done for 9 participants with ages ranging between 26 and 59 years. The measurements are repeated 10 times on different days, with 2 minutes of signal recording. The average value of the main EEG signal components (i.e. Delta, Theta and Alpha1) were calculated. It is found that for the main EEG components as the blood pressure decrease the EEG main components values increases. On the other hand, as the heart rate increases the EEG main components values decrease.