Mohammad Seifi - Affiliation: Department of power and computer, Hakim Sabzevari University, Sabzevar, Iran.
Aliakbar Kargaran erdechi - Affiliation: Department of power and computer, Hakim Sabzevari University, Sabzevar, Iran.
Ahmad Hajipour - Affiliation: Department of power and computer, Hakim Sabzevari University, Sabzevar, Iran.

Brains signals of EEG, have vital and important applications in different medical fields. Hence having easy access to suitable and useful signal is very important.In this regard, the inevitable existence of disturbing artificial signals in EEG signals have always brought about problems for applicability of these valuable signals. Artifacts are undesirable confusions which are generally originated from inevitable human activities such as heartbeat, blinking of eye, and facial muscle activities while receiving EEG signal and can bring about deformation in these waves. Therefore, solutions must be proposed to eliminate these artifacts that have the ability of auto-functioning and in general conditions be able to be used by individuals with different specialties, and also have desirable function in protecting the main signal data, such solutionswould have great importance in all applications of EEG signal.Based on the importance of the subject, our objective is to find a suitable solution in this field. Accordingly, a comparison would be conducted among various methods of eliminating signal artifacts and noise elimination method will be presented using new methods based on programmable digital circuit complex.

brain signals, artifact, noise elimination, digital circuits complex