Abstract

Each cell and each organ has its own specific set of molecules, and hence the spectrum of electromagnetic oscillations. The electromagnetic oscillations of organs and systems can significantly change in the event of various pathologies. The spectral-dynamic diagnostics method consists in removing and furtherer processing of information,which is taking into account the phase states of the object electromagnetic field (organ systems and the body as a whole). The spectral-dynamic complex registers the dynamics of changes in the human body spectral-dynamic characteristics. The diagnosis is based on the comparison of the investigated object (cell, organ, system) wave characteristics with the fixed (primary) standard spectrum (nosode), which is reflects both the anatomical structure of the organ, the system, and the variety of their pathologies. Thanks to mathematical algorithms it is possible to find pathological and normal fields, the fields, which are corresponding to acute or chronic flowing of the process, as well as the complementarity for the organism of medicinal products. The relevant software allows to detect the structure of reference markers from the database in the spectrum of the investigated organism. In the paper we consider the wavelet transform algorithm for analysis of signals which are obtained as a result of spectral-dynamic diagnostics. It’s consists in taking of the information about the phase states of the electromagnetic field of the object. Such diagnostics is carried out in order to detect pathological processes in the body and to select individual medicines.

Authors and Affiliations