A Terapia de Exposição com Realidade Virtual para pacientes com TEPT controlada por um Sistema de Lógica Fuzzy

• Autor(a) principal: Oliveira, Fernando Moraes de
• Data de Publicação: 2012
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/7688
• topic: Virtual Reality; Fuzzy Logic; PTSD; VRET; Realidade Virtual; Lógica Fuzzy; TERV; TEPT; Realidade virtual; Lógica difusa; Stress pós-traumático - Tratamento; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

In recent years, the health area has explored the potential of new technologies for diagnosis and treatment of many disorders. In particular, the Virtual Reality technology stands out by offering new perspectives for the treatment of various neuropsychiatric disabilities. Moreover, the occurrence of problems caused by traumatic events has increased worldwide. In this context, Post Traumatic Stress Disorder (PTSD) is classified as an anxiety disorder that is characterized by generating a class of improper behavior to situations that pose no real danger. In general, this disorder is related to the occurrence of some traumatic event of great magnitude in the past. Several studies were developed using three-dimensional virtual environments (3D) to diagnose and treat this disorder. However, we noticed that there is a lack of systems that can control the difficulty level of activities in these environments. In this case, this paper aims to describe the development and evaluation of two systems: one that explores the Virtual Reality (ARVET) to offer virtual scenes that simulate the anxiety stimuli generators similar to those of real life, and another that exploits the fuzzy logic (SAPTEPT) to classify the levels of anxiety of the patient, allowing the qualitative and quantitative analysis of psychophysiological and psychometric data. The evaluations using experts in this field have shown that ARVET can provide a high degree of anxiety stimuli and integration with SAPTEPT occurred satisfactorily showing the potential of that systems to be used in real patients.