Profile
International Journal of Computer & Software Engineering Volume 2 (2017), Article ID 2:IJCSE-118, 6 pages
https://doi.org/10.15344/2456-4451/2017/118
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 2017; 20 August 2017; 22 August 2017
Workman M (2017) Diagnosing Post Traumatic Stress Disorder: Using a Physiological Computing Method and Apparatus. Int J Comput Softw Eng 2: 118. doi: https://doi.org/10.15344/2456-4451/2017/118

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.