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 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.

[1]  Michael C. Fairhurst New perspectives in automatic signature verification , 1998, Inf. Secur. Tech. Rep..

[2]  Sotiris Malassiotis,et al.  Real-time 2D+3D facial action and expression recognition , 2010, Pattern Recognit..

[3]  Raphael D. Isokpehi,et al.  Autism from a Biometric Perspective , 2010, International journal of environmental research and public health.

[4]  H. Cohly,et al.  Bio-electrographic method for preventive health care , 2009, 2009 First Annual ORNL Biomedical Science & Engineering Conference.

[5]  Kin-Man Lam,et al.  Facial expression recognition based on shape and texture , 2009, Pattern Recognit..

[6]  Jbpd Osama Al-Jabrah Bds,et al.  Gender Differences in the Amount of Gingival Display During Smiling Using Two Intraoral Dental Biometric Measurements , 2010 .

[7]  Konstantin G Korotkov,et al.  Application of electrophoton capture (EPC) analysis based on gas discharge visualization (GDV) technique in medicine: a systematic review. , 2010, Journal of alternative and complementary medicine.

[8]  Raghda Al-Shammout,et al.  Gender differences in the amount of gingival display during smiling using two intraoral dental biometric measurements. , 2010, Journal of prosthodontics : official journal of the American College of Prosthodontists.

[9]  Sungzoon Cho,et al.  Keystroke dynamics identity verification - its problems and practical solutions , 2004, Comput. Secur..

[10]  Steve Gold Voice biometrics: real-world issues and solutions , 2010 .

[11]  Jayne Diffin Delivering biometrics as part of a wider security infrastructure , 2010 .

[12]  Helen C. Shen,et al.  Personal authentication using hand images , 2006, Pattern Recognit. Lett..

[13]  José A. Olalde Rangel,et al.  Report on the First International Congress on Systemic Medicine, Gas Discharge Visualization (GDV) and Electro-oncotherapy (ECT) , 2005, Evidence-based Complementary and Alternative Medicine.

[14]  W. Hop,et al.  Innovative virtual reality measurements for embryonic growth and development. , 2010, Human reproduction.

[15]  Shaogang Gong,et al.  Gait recognition without subject cooperation , 2010, Pattern Recognit. Lett..

[16]  Richard Simon,et al.  Gene expression-based prognostic signatures in lung cancer: ready for clinical use? , 2010, Journal of the National Cancer Institute.

[17]  Berney Williams,et al.  How does gas discharge visualization technique assess a body? Emerging models of energy and control in biophysics and physiology , 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

[18]  José A. Olalde Rangel,et al.  Report on the First International Congress on Systemic Medicine, Gas Discharge Visualization (GDV) and Electro-oncotherapy (ECT) , 2005 .

[19]  Natarajan Meghanathan,et al.  Clustering model to identify biological signatures for English language anxiety , 2010, 2010 Biomedical Sciences and Engineering Conference.