Graphy Publications
Inspiring Innovations & Discoveries
International Journal of Computer & Software Engineering Volume 1 (2016), Article ID 1:IJCSE-106, 6 pages
https://doi.org/10.15344/2456-4451/2016/106
Case Study
Diagnosing Post Traumatic Stress Disorder: Using a Physiological Computing Method and Apparatus

Michael Workman

Chief Research Scientist and Director of Advanced R&D, Security Policy Institute, Melbourne, Florida, USA
Dr. Michael Workman, Chief Research Scientist and Director of Advanced R&D, Security Policy Institute, Melbourne, Florida, USA; E-mail: workmanfit@yahoo.com
10 March 2016; 02 July 2016; 04 July 2016
Workman M (2016) Diagnosing Post Traumatic Stress Disorder: Using a Physiological Computing Method and Apparatus. Int J Comput Softw Eng 1: 106. doi: https://doi.org/10.15344/2456-4451/2016/106

Abstract

Background: Post traumatic stress disorder (PTSD) is typically diagnosed using self-reports and physician interviews and observations. For example, the US military has used the Warrior Administered Retrospective Causality Assessment Tool (WARCAT), which is a self-report method for diagnostics.
Methods: To help correct for associated deficiencies in self-reports, we utilized a computerized dual-task method and central nervous system (CNS) monitoring of reactions by participants who viewed troubling scenes.
Results: We found evidence to support unreported PTSD reactions to these incidents. Furthermore, we used a computerized technique to induce cognitive load to distract participants from the purpose of the assessment to gain more accurate assessments.
Conclusion: We conclude that using a computer apparatus is more effective in diagnosing PTSD than psychological instrumentation.