Comparison and performance evaluation of human bio-field visualization algorithm

Arch Physiol Biochem. 2022 Apr;128(2):321-332. doi: 10.1080/13813455.2019.1680699. Epub 2019 Nov 17.

Abstract

Energy is associated with anything and everything around us and can be transferred, transformed but cannot be destroyed. Many existing theories in physics like quantum physics, metaphysics, and electromagnetism give rise to the thought for the existence of an invisible field of bio-energy, in living things. Every living being, at its atomic level, absorbs and releases a good amount of energy, which is not visible through normal eyes but observable to measure through other means. The mentioned energy layer is known as Human Bio-field. Additionally, various studies also clear that measures of such energies can give deeper insights of our wellbeing and health. It also reflect thoughts, emotions, and inter-physiologic, which may affect the functioning of the human body. This article shows the results of the proposed algorithm for the visualisation of human bio-field. Further, the performance of the proposed work is evaluated in terms of accuracy by using existing methods.

Keywords: Bio-pulsar Reflexograph; Image processing; Quantum Resonance Magnetic Analyser; computer vision; human bio-field; pattern analysis.

MeSH terms

  • Algorithms*
  • Humans