2011
DOI: 10.1155/2011/196460
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Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics

Abstract: The need for automated identification of a disease makes the issue of medical biometrics very current in our society. Not all biometric tools available provide real-time feedback. We introduce gas discharge visualization (GDV) technique as one of the biometric tools that have the potential to identify deviations from the normal functional state at early stages and in real time. GDV is a nonintrusive technique to capture the physiological and psychoemotional status of a person and the functional status of diffe… Show more

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Cited by 30 publications
(25 citation statements)
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“…IE, left and right parameter is a determinant of disorderliness in the human energy system. a range of [1 to 2] indicates a healthy pattern of entropy in an organism (Korotkov 2002;cioca et al 2004;Kostyuk et al 2011).…”
Section: Epi Techniquementioning
confidence: 99%
“…IE, left and right parameter is a determinant of disorderliness in the human energy system. a range of [1 to 2] indicates a healthy pattern of entropy in an organism (Korotkov 2002;cioca et al 2004;Kostyuk et al 2011).…”
Section: Epi Techniquementioning
confidence: 99%
“…If we are distressed or ill, our body reflects this in changes in emitted bio-photonic and biomagnetic patterns, emitted patterns contains information corresponding to the nature of that distress or illness [159] [160].…”
Section: Proposed Signal Transmittersmentioning
confidence: 99%
“…Kirlian photography can produce a coloured image, which reflects the aura of the photographed biological object. Also, Gas Discharge Visualization technique is a biometric tool that has the potential to view, capture and identify human aura 9,10 . Para-psychological research has been prevalent in western culture for over 100 years, using the scientific method to detect the putative energies and related paranormal abilities, such as telepathy, clairvoyance and precognition 11,12 .…”
Section: Introductionmentioning
confidence: 99%