reserve is constantly replenished through the basic energy metabolism, with the participation of electronic processes in the tissues and the blood’s oxygen. When the organ function is normal, the EPI images with filter are very stable and reproducible, and their changes are evidence of pathological processes at a deep energy level, generally linked to organic processes. EPI images with filter reflect the physical condition of organs and systems.
The stronger the autonomic deregulation or imbalance is, the stronger will be the divergences between images with and without filter.
The evaluation of this divergence can easily be carried out with the program GDV Diagram (fig.2.3). The program reflects the standardized logarithmic values of the EPI images area, divided into sectors in accordance with the EPI diagnostic table. According to the contrast between EPI -diagrams with and without filter, we can calculate the activation coefficient which is an evaluation of the stress level of a given person. This is the approach we established in 2000; it was tested on a significant number of people alongside various psychological tests. For example, in the case presented at fig.2.3 the level of stress A = 9.65, which is very high on a 0….10 scale. We found high coefficients of statistical correlation between values of the EPI activation coefficient and levels of anxiety, physiological activation and stress, all being determined by different tests [Kondratiev et al., 2003]. Thus the significance of the EPI approach for identifying the level of psycho-physiological stress was proved in numerous independent psycho-physiological experiments.
The scale of the Activation coefficient can be easily interpreted:
Activation coefficient in range 0-2: absolutely calm and totally relaxed person, it could be for several reasons: deep meditation, complete inner peace; the effects of psychedelics; deep sleep in the peaceful phase; at the same time it may be the case of chronic depression or severe disease; we’ll discuss this in the next part of the book.
Activation coefficient in range 2-4: normal, calm condition.
Activation coefficient in range 4-6: excited state, characteristic of active work, emotional excitement and tense activity. This state is typical in high level managers, militaries and people with responsible jobs. It may be related as well to the high anxiety level. The state of permanent anxiety without relaxations may be the reason for serious problems.
Activation coefficient in range 6-7: there are at least four possible situations:
•Reaction to a previous stressful situation (unpleasant conversation, illness, car driving under stressful conditions, etc.). In this case it is absolutely necessary to calm the patient and repeat the measurement after half an hour.
•Heightened nervousness, accumulated during long term stress, emotional tension and autonomic disorder.
•People with special type of psyche, capable of switching rapidly from high excitement and nervousness to a calm state.
•Athletes in the moment of competition, actors at the performance, students at exams, etc.
•Children in a state of nervous excitement.
Activation coefficient in range 7-10: very high stress level, peak of emotional excitement.
Pay close attention to perspiration on the hands: wipe every finger with a tissue and repeat the EPI images taken for each finger separately. In any case, perspiration on the hands is a sign of autonomic imbalance.
If a patient with activation level 8-10 appears calm, this could indicate a dangerous situation: the person is on the verge of a nervous breakdown, so be aware and exercise caution.
Note that the EPI method makes it possible to measure the level of physiological stress, that is, the activation level of the autonomic nervous system, which does not always coincide with the level of psychological stress, or level of acknowledged psychological tension. For example, a person who suffers an intense psychological trauma – loss of a close person, a difficult divorce, traffic accident, etc. – may have quite a calm appearance and react adequately to external stimulus, but the level of physiological stress will be very high.
Fig.2.3 EPI Diagram
EPI/GDV Diagram program
The GDV Diagram program is designed for analysis of the functional state of the human body, by calculating the integral GDV parameters of energy distribution in the body and in organs and for their comparison with reference parameters of a practically healthy person formed according to the database. The obtained data is displayed in a graphic form as circle diagrams. Additionally, the program makes it possible to calculate the subject’s activation/stress level. To carry out the analysis you need to load into the program static GDV-images of 10 human fingers captured with and without the special filter.
The norm corresponds to the green ring in the middle. The inner circle is the area of energy deficiency (hypo-energy state). The outer ring is the area of energy excess (hyper-energy state). The diagrams are divided into the sectors related to a certain part of the human body. When you move the mouse cursor over the graph the program will show the information about the current sector. The curves are of different colors and each color corresponds to certain EPI-images of the subject.
IMPORTANT!
To have the correct processing in the Diagram program, images should have the appropriate calibration, i.e. the EPI/GDV camera should be calibrated in an appropriate way. Without calibration interpretation of diagrams may be incorrect.
As we see from the Diagram stress level is very high – 7.75. At the Diagram we can see results of several readings done in a course of time. Unfortunately, in this case different exercises did not change the situation.
Example 001, Woman, 50 years old
Parameters of EPI-grams used for the analysis
The common image processing application packages can not be used for processing EPI-grams, because the tasks are specific. Diagnostic hypotheses must be taken into account, and processing should be done on the level of decision-making systems. Therefore, a software environment was developed for processing and analyzing EPI-grams, oriented towards the work in different problem domains. Adaptation for particular assessment is performed through a combination of optimal operations from the library for the given problem domain, selection of corresponding procedures, and (or) selection of optimal threshold values.
The following main algorithms are included in the library:
Pseudo-coloring. For visual estimation of the image, there are several algorithms of pseudo-coloring, oriented towards marking out several peculiarities of EPI-grams. The following types of pseudo-coloring are provided in the programs (fig.2.4):
1. Original image – image as it was obtained from the video camera and saved in an AVI-file. A gray color palette containing 256 shades of gray (from black to white) is used.
2. Inverted image – inverted gray color palette is used, containing 256 shades of gray (from black to white). Particular small details and thin streamers are better seen in this palette than in the initial image.
3.
