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Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics
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 identi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124241/ https://www.ncbi.nlm.nih.gov/pubmed/21747817 http://dx.doi.org/10.1155/2011/196460 |
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author | Kostyuk, Nataliya Cole, Phyadragren Meghanathan, Natarajan Isokpehi, Raphael D. Cohly, Hari H. P. |
author_facet | Kostyuk, Nataliya Cole, Phyadragren Meghanathan, Natarajan Isokpehi, Raphael D. Cohly, Hari H. P. |
author_sort | Kostyuk, Nataliya |
collection | PubMed |
description | 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 different organs and organ systems through the electrophotonic emissions of fingertips placed on the surface of an impulse analyzer. This paper first introduces biometrics and its different types and then specifically focuses on medical biometrics and the potential applications of GDV in medical biometrics. We also present our previous experience with GDV in the research regarding autism and the potential use of GDV in combination with computer science for the potential development of biological pattern/biomarker for different kinds of health abnormalities including cancer and mental diseases. |
format | Online Article Text |
id | pubmed-3124241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31242412011-07-11 Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics Kostyuk, Nataliya Cole, Phyadragren Meghanathan, Natarajan Isokpehi, Raphael D. Cohly, Hari H. P. Int J Biomed Imaging Research Article 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 different organs and organ systems through the electrophotonic emissions of fingertips placed on the surface of an impulse analyzer. This paper first introduces biometrics and its different types and then specifically focuses on medical biometrics and the potential applications of GDV in medical biometrics. We also present our previous experience with GDV in the research regarding autism and the potential use of GDV in combination with computer science for the potential development of biological pattern/biomarker for different kinds of health abnormalities including cancer and mental diseases. Hindawi Publishing Corporation 2011 2011-05-19 /pmc/articles/PMC3124241/ /pubmed/21747817 http://dx.doi.org/10.1155/2011/196460 Text en Copyright © 2011 Nataliya Kostyuk et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kostyuk, Nataliya Cole, Phyadragren Meghanathan, Natarajan Isokpehi, Raphael D. Cohly, Hari H. P. Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics |
title | Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics |
title_full | Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics |
title_fullStr | Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics |
title_full_unstemmed | Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics |
title_short | Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics |
title_sort | gas discharge visualization: an imaging and modeling tool for medical biometrics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124241/ https://www.ncbi.nlm.nih.gov/pubmed/21747817 http://dx.doi.org/10.1155/2011/196460 |
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