Table of Contents Author Guidelines Submit a Manuscript
International Journal of Biomedical Imaging
Volume 2011 (2011), Article ID 196460, 7 pages
Research Article

Gas Discharge Visualization: An Imaging and Modeling Tool for Medical Biometrics

1Center for Bioinformatics and Computational Biology, Jackson State University, Jackson, MS 39217, USA
2Department of Communicative Disorders, Jackson State University, Jackson, MS 39217, USA
3Department of Computer Science, Jackson State University, Jackson, MS 39217, USA
4Department of Biology, Jackson State University, Jackson, MS 39217, USA

Received 23 June 2010; Revised 23 January 2011; Accepted 13 February 2011

Academic Editor: Yue Wang

Copyright © 2011 Nataliya Kostyuk et al. 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.


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.