Automated system for early and differential diagnostics and control of treatment of Parkinson's disease is developed for helping the physician in difficult situations (the absence of the specific diagnostic signs, symptoms similar for different diseases, etc.) to make the correct diagnosis. The system is based on methods of spectral-statistical analysis of specially selected EMG signals. The method for analysis of motor function has been developed in the Institute of Control Sciences of the Russian Academy of Sciences. The automated system also enables one to reveal and describe the criteria of the early stage of the PD, when it is not viewable yet. The database contains different diagnostic characteristics of the patients. Graph representation allows one to perform the assessment of the efficiency of the different treatments.The automated system allows apart form the early and differential diagnostics of the main symptoms of PD:- individual selection of medication for mono- or combined therapy- control of effectiveness of antiparkinsonic medications- assessment of the efficiency of the surgical treatment (neuro-transplantation, stereotaxic operations and electrical stimulation.