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Medical biometrics based on Gas Discharge Visualisation technology approach to survival research: A case study

Raul Valverde, Konstantin Korotkov, Jennifer Hamilton, Chet Swanson

International Journal of Studies in Psychology February 4, 2026 DOI: 10.38140/ijspsy.v5i3.2170 via DOAJ

Summary

AI-generated from the abstract

Gas discharge visualisation (GDV) technology, which measures electro-photonic emission from fingertips, is proposed as a tool to test whether personality and consciousness survive physical death. A case study measured psychoemotional functions via GDV before and after death, then used a statistical test for the difference of means to compare average energy values. Preliminary results suggest the technology may have potential to support the survival hypothesis, though the text reports only that the difference was assessed for statistical significance without providing specific numbers or the test outcome.

Study at a glance

Characteristics Case study Case report Peer reviewed
Sample size 1
Population A single deceased individual
Keywords Survival hypothesis Gdv Bioenergy model Psychoemotional measurements Near-death studies
Key finding Preliminary results show potential for GDV technology to test the survival of personality after death.

Abstract

Medical biometrics based on the gas discharge visualisation (GDV) technique is used in medicine to monitor patients and compare their natural electro-photonic emission before and after surgeries, cancer treatments, energy healing, and physiotherapy. This article proposes the use of GDV technology to test the survival hypothesis. The survival hypothesis asserts that a person's personality and consciousness survive the body's physical death. This study aims to use GDV to identify psychoemotional functions through a person’s fingertips to measure personality before and after death, to prove the survival of personality after death. Psychoemotional functions are linked to the personality of the individual. In this article, a case study is presented with psychoemotional functions measurements using GDV before and after death, then a statistical test for the difference of means was performed to determine if the difference between the average values (means) of energies of the before and after death is statistically significant to test the survival hypothesis. Preliminary results are reported and show the potential of this technology to prove the survival of the personality hypothesis.

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