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The paper presents an approach to galvanic skin response (GSR) spontaneous component analysis and modeling. In the study a classification of biofeedback training methods is given, importance of intelligent methods development is shown. The INTENS method, which is perspective for intellectualization, is presented. An important problem of biofeedback training method intellectualization - estimation of the GSR spontaneous component - is solved in the main part of the work. Its main characteristics are described; results of GSR spontaneous component modeling are shown. Results of small research of an optimum material for GSR probes are presented. HE PROBLEM of the control and correction of the human functional state is of high urgency today. Increase of requirements to the human activity in interaction with the sophisticated equipment leads to the growth of nervous- emotional load and formation of steady stressful statuses, development of neurosis and psychosomatic diseases. Elimination of such distresses purely pharmacological is often inaccessible because of contra-indications, acquired tolerance and by-effects, therefore psychophysiological methods of the person's emotional state correction widely develop. One of the largest groups of such methods is indirect biofeedback therapy (biofeedback training). It is possible to divide methods of emotional state correction and, in particular - biofeedback training, into three groups: non-adaptive, adaptive and intelligent. Non-adaptive methods. In such methods, there is no mechanism of procedure's correction depending on results of influence on the patient. The structure of non-adaptive method is presented in Fig.1, where TCA is Training Control Algorithm, the basis of the method.

Analysis and Modeling of the Galvanic Skin Response Spontaneous Component in the context of Intelligent Biofeedback Systems Development