Comparison and performance evaluation of human bio-field visualization algorithm.
Bio-pulsar Reflexograph
Image processing
Quantum Resonance Magnetic Analyser
computer vision
human bio-field
pattern analysis
Journal
Archives of physiology and biochemistry
ISSN: 1744-4160
Titre abrégé: Arch Physiol Biochem
Pays: England
ID NLM: 9510153
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
pubmed:
19
11
2019
medline:
2
4
2022
entrez:
19
11
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31736388
doi: 10.1080/13813455.2019.1680699
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM