The electromagnetic bio-field: clinical experiments and interferences.
BACKGROUND
One of the most important factors is the technical and scientifically rapid development that is continually modifying the world we live in and polluting it with electromagnetic radiations. A functional and structural influence of magnetic and electromagnetic field on living organisms is presented in the literature by many performed experiments.


METHODS
The notion of bio-field represents the electromagnetic field generated by the bio-structures, not only in their normal physiological activities but also in their pathological states. There is a tight interdependency between the bio-field and the bio-structure, which respects the primary notion of an electromagnetic field given by the Maxwell-Faraday laws, in which, the electromagnetic phenomena are simplified to the field variations. These variations can be expressed in a coherent differential equation system that bounds the field vectors to different space points at different time moments.


RESULTS
The living organisms cannot contain electrostatic and magneto-static fields due to the intense activity of the bio-structures. The biochemical reactions that have high rhythms and speeds always impose the electrodynamics character of the biologic field that also corresponds to the stability of the protein molecule that can be explained only through a dynamic way. The existent energy is not considered an exciting agent, and it does not lead to any effects.


CONCLUSIONS
The parameters of these elementary bio-fields cannot yet be fully known due to technical reasons. The biological structures are very complex ones and undergo continuous dynamical activity. That is why the calculus model should be related to the constant dynamics, nowadays being very difficult to express.
M.S. Curie Emergency Pediatric Hospital, Bucharest, Romania. mscburnei@yahoo.com
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Burnei
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Hodorogea
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I
Georgescu
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Gavriliu
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I
Drăghici
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Dan
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Vlad
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Drăghici
D000818:Animals; D004574:Electromagnetic Fields; D006801:Humans; D008954:Models, Biological