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
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

Pagination

321-332

Auteurs

Gunjan Chhabra (G)

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

Ajay Prasad (A)

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

Venkatadri Marriboyina (V)

Department of CSE, Amity University Madhya Pradesh, Gwalior, Madhya Pradesh, India.

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Classifications MeSH