ABSTRACT This paper presents an algorithm for acquiring and processing brain signals imported from the physionet.org. This data is then encoded in LVM data format for a sample size of n=91000 and fed into two National Instruments LabVIEW voltage generators for pre-amplification using the INA118P differential amplifier. Once this EEG signal is pre-amplified, it is buffered thanks to an operational amplifier OPA4277PA in order to allow a transmission of the EEG signal to the following circuit thanks to adaptation of its impedance. Once the impedance of circuit is adapted, it is introduced into a Notch filter having a central frequency approximately equal 60 Hz. This signal is then introduced into an active high-pass filter with a cut-off frequency of 1.079 Hz. Subsequently, the said EEG signals obtained will be transmitted to active low-pass filter with a cut-off frequency of 30.445 Hz. Subsequently, they will undergo a second amplification using an operational amplifier OPA4277PA. This signal will then be positively clamped. It will undergo a terminal amplification thanks to the operational amplifier OPA4277PA so that the imported EEG signals are exploitable, at the analog input of the Arduino microcontroller which is driving center of the human hand prosthesis.