The algorithm of orthogonal expansions is applied to the problem of extraction of diagnostic information from random noise. It is shown that the spectral analysis of electrochemical noise can be performed by a unified algorithm regardless of the type of orthogonal expansion used. A multi-channel indicator of color of electrochemical noise can be constructed on the basis of the orthogonal expansions. It is concluded that the algorithm of orthogonal expansions is an advantageous tool for noise monitoring and noise diagnostics of practically important electrochemical devices, including the devices of electrochemical energetics and systems of protection against corrosion.

Express diagnosis of biological objects is required for operative preliminary estimation of various states of the organism. A new method is proposed for recognition of multidimensional patterns obtained by analysis of multisensory voltammograms of electrochemical test system in the formats of “electronic tongue” and “electronic nose” formats. These formats are realized in the process of electrochemical studies of liquid and gaseous phases. The proximity of the obtained pattern of the tested object to the known patterns accumulated in the database is estimated. Examples of express diagnosis of glaucoma based on the results of electrochemical studies of blood serum are provided.