Fields in Electromagnetic Spectrum Emitted from Human Body. Applications in Medicine

Ignat Ignatov, Oleg Mosin, Chavdar Stoyanov


This paper presents the results of evaluation of possible biophysical methods and approaches for registering various non-ionizing radiation (NIR) wave types of the human body in the electromagnetic range. Many types of NIR (electromagnetic waves, infrared radiation, thermo radiation, bioluminescence) emitted from the human body were reviewed. In particular the results of spontaneous biophoton emission and delayed luminescence from the human body are submitted along with infrared thermography (IRT) results. It was shown that 1 cm2 of skin generally emits ~85 photones for 1s. The intensity of biophoton emission ranges from 10?19 to 10?16 W/cm2 (approx. ~1–1000 The specific photon emission from part of the human thumb was detected as a spectrum of various colours with the method of Color coronal spectral analysis on a device with an electrode made ??of polyethylene terephthalate (PET hostafan) with applied electric voltage of 15 kV, electric impulse duration 10 ms, and electric current frequency 15 kHz. It was established that photons corresponding to a red color emission of the visible electromagnetic spectrum have energy at 1.82 ?V. The orange color of the visible electromagnetic spectrum has energy at 2.05, yellow – 2.14, blue-green (cyan) – 2.43, blue – 2.64, and violet – 3.03 eV. The reliable result measurement norm was at E ? 2.53 eV, while the spectral range of the emission was within 380–495 nm and 570–750 nm±5 nm. Some important physical characteristics were also demonstrated (energy of hydrogen bonds, wetting angle, surface tension) of water by the methods of non-equilibrium energy (NES) and differential non-equilibrium energy (DNES) spectrum of water, that helps understand in general how electromagnetic radiation interacts with water and establishes the structural alterations of water.

Keywords: electromagnetic waves, infrared radiation, thermo radiation, bioluminescence, color coronal spectral analysis, NES, DNES

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