The device is a bioinformatics system with non-linear analysis (NLS device). It is based on the principles of quantum physics whose founders are the winners of the Nobel Prize in Physics; Max Plankt and Alfred Einstein, and the technical solution was created by Nikola Tesla. These authors proved that everything in the world oscillates and has its own frequency of oscillation. Similarly, every healthy cell in the body has its own ideal frequency of oscillation. When there are stressful and other unfavorable factors for the organism, the frequency of oscillation of the cells changes, thereby changing the communication ability between them and a disease develops.
These data made it possible to develop the Non-Linear System Analysis, which has several postulates:
Russian Academician Svetoslav Pavlovich Nestorov in 1988 constructed the trigger sensors, which are electronic devices that amplify these waves and convert them into a signal that can be processed by a computer.
In the last 30 years, a large number of softwares have been created that compare the signal from the examined person with the thousands of frequency data from the oscillation of cells, organs and tissues of healthy people and those suffering from various diseases that are stored in the computer's memory.
The powerful software with the Physiospect device uses information from 125,000 measurement points about the energy state of the body, in its memory there are images of 1,432 organs and tissues, 4,025 information about the energy state of the body in sick and healthy people, which are compared with the obtained findings, and 13,933 information about processes occurring in our body and energy values of preparations used for treatment.
The technique examines the following organs and tissues:
The obtained results show organs and tissues in 6 energy levels:
The recording takes about fifteen minutes, and the processing of the data takes about the same amount of time. During the recording, the patient should be comfortably placed in a chair, relaxed, rested, not have consumed food for 3 hours before the recording, not have crossed their arms and legs and not have metal objects on or in themselves (implants, rings, earrings) and dr.
The recording is performed through headphones that are placed on the ears painlessly.
The received data is processed in 3 ways:
The sensitivity for detecting a pathological condition ranges from 83-95% and correlates with other techniques.
Its advantage is that it can indicate the preclinical form of the disease where there is a reduced, or weakened regulatory mechanism, but there are no clinical manifestations of the disease and significant pathological changes in the tissues and organs.
Other techniques, such as echo, computerized tomography and magnetic resonance, cannot detect this condition.
Due to the principle of the work, which is significantly different from the work in classical medicine, where there is an examination, expensive diagnostic equipment (echo, computerized tomography, magnetic resonance) and long-term and expensive prior education, some doctors consider this technique a branch of alternative medicine, and others for access, diagnostics and method of the future.
Considering that this method has been applied commercially for a relatively short time (in the last decade), it still takes time to gain longer clinical experience.
However, in today's conditions, it is an ideal, inexpensive, non-invasive and fast technique that provides information about the general state of health and indicates where additional follow-ups should be done with classic medical techniques - echo, computerized tomography and magnetic resonance.
It can also make a good control of already proven chronic diseases, because it allows a six-step comparison of previous conditions that other techniques cannot do.
I honestly believe that it is only a matter of time when, in the future, the general review will be replaced by a full review with the new generations of these so-called "brain machines". and then the doctors will focus on the already detected pathological conditions.
Prof. Dr. S. Toshev