Content Table
Bioelectromagnetic signals in nature
The signals emitted by the heart are the most intense biomagnetic signals that are spontaneous and produced by a living organism. These signals can be measured by an electrocardiogram. The biomagnetic signals of the brain’s neural activities in the central nervous system can be measured through an electroencephalogram, and the signals of the motor activity of muscle systems can be measured through an electromyogram.
These signals have been accepted by modern medical science, but apart from these signals, each and every cell in our body also creates electromagnetic fields with different frequencies. All molecules and cells even in plants and animals have a natural vibration by themselves. Cells and organs continuously emit electromagnetic waves due to the presence of mobile charges and ions, the presence of dipoles such as microtubules and other molecular dipoles, the electric potential of cells, and finally, at the quantum level, due to the angular movement of electrons. do [1-4].
Each of the organs and internal organs of the body also have a specific vibration. Similarly, microbes, viruses and bacteria also emit electromagnetic waves. These frequencies are characteristic of cells and are distinct like fingerprints of the vibrational characteristics of tissues and cells. The higher the texture structure, the higher the resonance frequency. For example, bone tissue has a frequency of 1.8 Hz and brain cortex has a frequency of 8.2 Hz [5, 6].
All compounds are made of atoms, and atoms themselves were created from protons, electrons, and neutrons. These components exhibit identical properties and have rotating spins. Like a planet that emits a certain amount of energy in the form of electromagnetic waves, particles of matter transmit waves of different frequencies to the environment based on temperature and other environmental parameters, and actually communicate with other components of existence through these electromagnetic waves. Researchers believe that these electromagnetic waves are a kind of information carriers. As a result, every bacterium, virus, molecule, protein and other components of organs and tissues have their own natural frequency and interact with other cell components by sending these waves [5, 7-9].
The development, maintenance and reproduction of a biological system is largely based on its intracellular and intercellular communication. This communication allows a single cell to interact with neighboring cellular systems as well as with its environment. In the presence of pathology and pathogenic factors, this characteristic cellular frequency will change, and identifying and correcting these deviations from the normal state is the basis of the work of the bioresonance device [10, 11].
How to diagnose by bioresonance device
When two waves with the same frequency are in close proximity to each other, the phenomenon of resonance or resonance occurs, and as a result, the amplitude of the resulting wave increases. By increasing the amplitude of the resulting wave, these waves can be identified [12, 13].
A century ago, a doctor needed thousands of years of medical observation to make a correct diagnosis. Today, this requires numerous and expensive research and analysis.
Today, thanks to researchers, bioresonance, which is a non-invasive, fast and comprehensive method, is used to diagnose and treat diseases. Special bioresonance therapy devices use sending specific frequencies to the patient’s body for diagnosis and treatment. These frequencies are bioelectromagnetic frequencies of the human body and their range is very weak, but their frequency is extremely accurate [14].
Very low frequency electromagnetic vibrations can transmit information in the human brain by bypassing the usual senses [15-17].
But what is happening behind this transfer of information at the quantum level?
Today, bioresonance devices operate based on the hypothesis of “quantum entropy logic”. Unlike the traditional concepts of quantum mechanics, which deal directly with the physical properties of objects, the logic of quantum entropy originates from a more basic and primitive concept, the “entropy state of a system”. From this point of view, all physical quantities that define a system are only secondary manifestations of entropy potential [18].
The main achievements of the theory of quantum entropy logic are not only about the knowledge of a micro world, but also describe the physical realities of the macro world with a new approach. Unlike the traditional concepts of quantum mechanics, which deal directly with the physical properties of objects, the logic of quantum entropy originates from a more basic and primitive concept, the “entropy state of a system”. From this point of view, all the physical quantities that define a system are only secondary manifestations of the entropy potential.
This principle prevails both in large systems and in small and micro systems. Albert Einstein’s theory of general relativity relates gravitational fields to changes in four-dimensional space-time. Professor van Hoven proposed the quantum entropy field in the form of a mathematical model based on the principle of convergence of gravity and entropy. This mathematical model sees entropy as a quasi-field created by space-time deformation [19].
The flow of information in the body and identifying the amount of entropy produced in a cell has been part of discussions and studies in recent decades. The living system, including the human body, is considered as an open and non-equilibrium thermodynamic system. In non-equilibrium biological systems, the difference in thermodynamic variables leads to the flow of matter, energy and information in the system. Entropy is often defined as a measure of the randomness of a system. According to information theory, entropy is a measure of information loss of a transmitted signal or message.
In other words, entropy is a measure of “randomness” or “disorder”. The second law of thermodynamics states that “the amount of energy available for useful work in a given system is decreasing, and entropy is always increasing.” As a result, as the entropy of a system increases, the amount of information in a biological system decreases and the complexity of its structure decreases. is reduced Living organisms have complex structures and therefore have low entropy. The entropy of an isolated system increases until it reaches a maximum, at which point the system has reached thermodynamic equilibrium. As a result, the entropy of a system can be considered as a symbol of the amount of information in that system. Next, we talk about the concept of information in modern science and its relationship with entropy [20].
Information theory was proposed by Shannon. He quantified the amount of information and used entropy to express the amount of information. The French physicist Brillouin realized that Shannon’s formula for calculating the amount of information is similar in structure to the formula given by Boltzmann, which is used to calculate the amount of entropy. He concluded that measuring the amount of information about a particular object may be related to the complexity of its internal structure. Brillouin considered the following value as the universal measure of information value [21, 22].
I=K. ln p
So that p is the level of complexity of the structure and I is the amount of information of a system and k is a constant that depends on the type of measurement unit system. This formula is similar to Boltzmann’s formula for calculating the entropy value.
S = k. ln w
where S is entropy, k is Boltzmann’s constant and w is thermodynamic probability. Hence, when information is lost, the entropy of a system increases, or in other words, the level of internal structural organization of the system is decreasing. as a result:
S + I = constant
The theory of quantum entropy logic is the first theory that describes the interaction of mass, energy and information. All cells and biological systems require biological signals and information for common and integrated physiological function. Biological information and signaling can lead to regeneration and modification of the organism’s physiological state. Information is needed to maintain the body’s organization and coordinate its functions. It has been proven that the biological information for the normal functioning of the body does not exist in the genomic database alone. In the human body, information has different levels and different types. The source of biological information may be biochemical (DNA, immunological information) and bio-physical information (quantum entropy interactions) [23].
In the theory of quantum entropy logic, Van Hoven considers information as a material category that reflects the internal structural organization level of the body and is related to the basic characteristics of the body such as energy and mass. We must note that information is an objective quantity that does not depend on what we think about this information, whether we measure it or not and how we measure it. Rather, a system will contain a certain amount of information anyway, just as every object in the material world has a certain mass. In fact, what distinguishes this theory is that entropy or information constitutes the essence and basic nature of any system. The theory of quantum entropy logic does not distinguish information and entropy, but associates them with energy [24-26].
In 1923, Duke Louis de Broglie hypothesized that wave properties could be generalized not only to light but also to matter. His argument was that Einstein’s equation (E = mc2) relates mass to energy. On the other hand, Einstein and Planck linked energy and wave frequency. By combining these two principles, we can conclude that matter must also have a wave representation. The theory of quantum entropy logic extends de Bruegel’s conclusions to all material compounds, including information. This theory shows that all materials exhibit wave characteristics. The theory of quantum entropy logic provided a formula for the radiation of information waves. According to this formula, the information of a system is related to the energy of a system through Planck’s constant [27].
According to this formula, the energy of any material system is related to its level of complexity, in other words, to the level of its structural organization. The level of complexity (structural organization) like the mass and energy of this system is an essential quality for the material system. Information is even more pervasive than mass, since some fundamental particles, such as photons and gluons, have no mass at all. But all material bodies, without exception, have a more or less complex structure, that’s why we shouldn’t talk about the wave-particle duality, but in describing the material world we are facing a kind of trinity, which includes information along with Mass and energy are included in the equation.
Finally, it was assumed that information, like energy, is described by quantum equations. which indicates that there is a physical field of information and physical particles are able to carry this information [28].
Assumptions of quantum entropy logic theory
1. Any physical object of biological or non-biological nature, when it absorbs information from the environment, increases its structural level and at the same time becomes more complex and stable.
2. Any physical object of biological or non-biological nature reduces its structural level when it loses information, thus becoming less stable and more disordered. From a biological point of view, the loss of structural organization (information) means the deterioration of adaptive behavior, the development of diseases and finally the death of an organism.
3. There is always informational noise around any destructible object that loses information. Since the transmission of information in the biological system is carried out by the principle of frequency, body signals are considered as noise, which are a source of important information. The more severe the destruction of the biological system, the higher the level of information surrounding that system and the more acute pathological process can be recorded.
Professor Vladimir Nesterov, head of the Institute of Applied Psychophysics, in collaboration with the International Institute of Theoretical and Applied Physics of the United States of America, has completed a series of scientific studies that prove information interactions in biological organisms by special physical fields called torsion fields. are done Modern physics deals with these four levels of matter: solids, liquids, gases, and ionized elementary particles (plasma). Modern studies show that there is another level of reality, which is torsion fields [29-31].
Since the electromagnetic field is created by electric charge and the gravitational field is created by the mass of the particles, the rotation, spin, or amount of angular motion of an object creates a torsional field. Torsion fields have unique characteristics. They transmit information without the transfer of energy and spread instantly over any distance and are not confined by known environments. In addition, they have another amazing feature. These fields promote self-organization in living organisms. Electromagnetic fields always contain a torsional component.
A misunderstanding of these conditions often leads to the fact that many phenomena caused by torsional fields are mistakenly attributed to electromagnetic phenomena. According to torsion field theory, the spin-spin interaction can be transmitted by electromagnetic waves, except that the torsion field has no energy and mass, but only carries information.
Particles such as photons that have energy but no mass also have energetic interactions. But all fundamental particles, regardless of mass or energy, share one quantum mechanical parameter, spin. Spin is caused by the intrinsic angular momentum of the particles, which can be left-handed or right-handed. The interaction of information in both living and non-living nature is caused by the interactions of the spins of fundamental particles [32, 33].
Every fundamental particle has spin, so the information or spin field is always part of any physical field. As mentioned earlier, fundamental particles have two values of spin.
Therefore, torsion fields are divided into two types:
Right-handed (informational) torsional field and left-handed (entropic) torsional field. Penetration of right-round torsional field to any physical object, including biological object, improves its level of structural organization due to information saturation. The effect of the left-handed (entropic) torsional field leads to the destruction of the structural organization of the material body, which occurs due to the loss of information. Therefore, the right-handed polarized torsional field increases the level of organization of material bodies, and vice versa, the left-handed polarized torsional field is a type of material body destroyer [34].
Since we are unable to record torsional fields directly, we can assess the effect of torsional fields on a biological system with indirect cues. As mentioned, the torsional field is one of the components of the magnetic field [35-39].
So, if we measure the level of noise or information around the biological object indirectly through electromagnetic fields, we can evaluate the rate of destruction in this object. By sending the same frequency as the frequency of the desired tissue, the device resonates with it and receives the noise level or the information contained in the cell vibrations. These oscillations are stored in the computer memory and displayed on the screen as graphs that show the conditions of information exchange between an organ (tissue) and the environment [40].
In the device library, each pathological condition has a characteristic diagram of that pathological condition. The computer memory has stored a large number of pathological processes according to the received conditions (healthy tissue, pathological tissue, infection factors) and estimates the closest pathological process or the percentage of tendency to create it. In fact, by analyzing the input signal in the form of graphs drawn by the device, it is possible to determine which of the reference processes is closer to the conditions under investigation and to check the spectral similarity between the reference process and the graph drawn for the patient.
Based on this analysis and comparison with normal conditions, the bioresonance device can correct the incorrect frequency of the patient’s tissue, eliminate the energy blockages of the nervous system caused by stress, and create channels for the natural flow of energy and allow the body to return to its natural state of health. come back In this method, not only the symptoms of the disease disappear, but the therapeutic frequency is transmitted directly through electrodes and headsets, and the body is encouraged to self-heal and eliminate toxins [41].
References of the basis of biophysics in bioresonance
1
Cifra, M., J.Z. Fields, and A. Farhadi, Electromagnetic cellular interactions. Progress in biophysics and molecular biology, 2011. 105(3): p. 223-246.
2
Goodman, R. and M. Blank, Insights into electromagnetic interaction mechanisms. Journal of Cellular Physiology, 2002. 192(1): p. 16-22.
3
Widom, A., Y. Srivastava, and V. Valenzi, The biophysical basis of water memory. International Journal of Quantum Chemistry (Wiley and Sons), Published on line May, 2009. 19.
4
Pham, V.T., et al., The effect of a high frequency electromagnetic field in the microwave range on red blood cells. Scientific reports, 2017. 7(1): p. 1-10.
5
Rossi, C., et al. New perspectives in cell communication: Bioelectromagnetic interactions. in Seminars in Cancer biology. 2011. Elsevier.
6
Goodman, E.M., B. Greenebaum, and M.T. Marron, Effects of electromagnetic fields on molecules and cells. International review of cytology, 1995. 158: p. 279-338.
7
Rivera-Dugenio, J., The Language of Our DNA–Scalar Energy.
8
Schorr, S., Bioresonance and phytotherapeutic hydrosols in healing. Bioponic Phytoceuticals, 2004. 20.
9
Romanenko, S., et al., The interaction between electromagnetic fields at megahertz, gigahertz and terahertz frequencies with cells, tissues and organisms: risks and potential. Journal of The Royal Society Interface, 2017. 14(137): p. 20170585.
10
Meyl, K., DNA and cell resonance: magnetic waves enable cell communication. DNA & Cell Biology, 2012. 31(4).
11
Venger, L., Fall of Parity in Weak Interactions in the Light of New Physical Theories.
12
Foletti, A., et al., Bioelectromagnetic medicine: The role of resonance signaling. Electromagnetic Biology and Medicine, 2013. 32(4): p. 484-499.
13
Brizhik, L., B. Zavan, and E. Fermi, The working principle of magnetic resonance therapy. arXiv preprint arXiv:1509.04475, 2015.
14
Rein, G., Bioinformation within the biofield: beyond bioelectromagnetics. The Journal of Alternative & Complementary Medicine, 2004. 10(1): p. 59-68.
15
Tarlacı, S., A historical view of the relation between quantum mechanics and the brain: a NeuroQuantologic perspective. NeuroQuantology, 2010. 8(2).
16
Meijer, D.K. and S. Raggett, Quantum physics in consciousness studies. The Quantum Mind Extended, 2014.
17
Joshi, V., A quantum mechanical approach to study consciousness and healing. International Journal of Research in Science & Technology, 2016. 2: p. 3.
18
Solano-Carrillo, E., Quantum theory of entropy production. 2018: Columbia University.
19
Shipov, G., Unification of interactions in the theory of physical vacuum. Preprint, 1996. 3.
20
Widom, A., Y. Srivastava, and V. Valenzi, The biophysical basis of Benveniste experiments: Entropy, structure, and information in water. International Journal of Quantum Chemistry, 2010. 110(1): p. 252-256.
21
Nesterov, V., NONLINEAR (NLS) DIAGNOSTIC SYSTEMS (basic physics and principles of equipment).
22
IPP, P.P., Topical problems of NLS-diagnosis (theoretical and clinical).
23
Cheon, H., et al., Terahertz molecular resonance of cancer DNA. Scientific Reports, 2016. 6(1): p. 37103.
24
Nesterov, V., Main tendencies of non-linear technology development. Acta Medica Medianae, 2013. 52(2).
25
Nesterov, V., Information in the Structure of the Universe. Advances in Natural Science, 2011. 4(2): p. 1-6.
26
Nesterov, S.P., PHYSICAL BASICS OF INFORMATIONAL INTERACTION.
27
Boos, J., Effects of non-locality in gravity and quantum theory. 2021: Springer Nature.
28
Doronin, S. and V. Nesterov, Quantum entropic logic theory and quantum computer.
29
Yurth, D., Torsion field mechanics: verification of non-local field effects in human biology. Journal of New Energy, 2000. 5: p. 64-75.
30
Rapoport, D., Torsion fields, Brownian motions, Quantum and Hadronic Mechanics. Hadron Models and Related New Energy Issues, 2007.
31
Hammond, R.T., Electromagnetic spin creates torsion. International Journal of Modern Physics D, 2018. 27(14): p. 1847005.
32
Krinker, M., K. Shahrabi, and A. Goykadosh. Universality of spin-angular momentum of media as a carrier of information. in 2016 IEEE Long Island Systems, Applications and Technology Conference (LISAT). 2016. IEEE.
33
Hu, H. and M. Wu, Spin as primordial self-referential process driving quantum mechanics, spacetime dynamics and consciousness. NeuroQuantology, 2004. 2(1): p. 41-49.
34
Hrkac, G., et al., Magnetic vortex oscillators. Journal of Physics D: Applied Physics, 2015. 48(45): p. 453001.
35
Peng, G. Attempts to detect the torsion field nature of scalar wave generated by dual Tesla coil system. in Torsion fields and information interactions. 2016.
36
Pandarakalam, J.P., Interactions of Quantum Bioenergy Fields. NeuroQuantology, 2020. 18(2): p. 157-173.
37
Meyl, K., About vortex physics and vortex losses. Journal of Vortex Science and Technology, 2012. 1: p. 1-10.
38
Gao, P., Detection of Torsion Field Based on Measuring the Dark Current of Silicon Photodiode.
39
Bulnes, F., et al., Detector of Torsion as Field Observable and Applications. American Journal of Electrical and Electronic Engineering, 2020. 8(4): p. 108-115.
40
41
Gurvich, A., Bioelectromagnetic Healing, its History and a Rationale for its Use.