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Comparison and performance evaluation of human bio-field visualization algorithm.

Gunjan Chhabra1, Ajay Prasad1, Venkatadri Marriboyina2

  • 1School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttrakhand, India.

Archives of Physiology and Biochemistry
|November 19, 2019
PubMed
Summary
This summary is machine-generated.

This study visualizes the human bio-field, an invisible energy layer in living beings. The proposed algorithm

Keywords:
Bio-pulsar ReflexographImage processingQuantum Resonance Magnetic Analysercomputer visionhuman bio-fieldpattern analysis

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Area of Science:

  • Physics
  • Quantum Physics
  • Metaphysics
  • Electromagnetism

Background:

  • Energy is transferable, transformable, and conserved, fundamental to physics.
  • Living organisms possess an atomic-level energy exchange, forming the human bio-field.
  • The human bio-field is linked to well-being, health, thoughts, and emotions.

Purpose of the Study:

  • To propose and evaluate an algorithm for visualizing the human bio-field.
  • To assess the accuracy of the proposed visualization method.

Main Methods:

  • Development of a novel algorithm for human bio-field visualization.
  • Performance evaluation using comparative accuracy metrics against existing methods.

Main Results:

  • The proposed algorithm successfully visualizes the human bio-field.
  • Accuracy of the visualization was quantitatively assessed using established benchmarks.

Conclusions:

  • The study presents a new method for human bio-field visualization.
  • The algorithm's performance indicates its potential for health and well-being insights.