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Pregled bibliografske jedinice broj: 569014

Virtual reality in personalized mental health medicine


Ćosić, Krešimir; Popović, Siniša
Virtual reality in personalized mental health medicine // Person in medicine and healthcare: from bench to bedside to community / Đorđević, Veljko ; Braš, Marijana ; Miličić, Davor (ur.).
Zagreb: Medicinska knjiga, 2012. str. 267-273


Naslov
Virtual reality in personalized mental health medicine

Autori
Ćosić, Krešimir ; Popović, Siniša

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Person in medicine and healthcare: from bench to bedside to community

Urednik/ci
Đorđević, Veljko ; Braš, Marijana ; Miličić, Davor

Izdavač
Medicinska knjiga

Grad
Zagreb

Godina
2012

Raspon stranica
267-273

ISBN
978-953-176-551-0

Ključne riječi
Virtual reality, mental health, personalization, person-centered medicine, stress-related disorders, stimuli generation, emotional state estimation, multimodal response

Sažetak
New research directions in personalized mental health virtual reality (VR) therapy are proposed, particularly in the areas of prevention and treatment of stress-related disorders. Concepts and tools regarding personalized audio-visual stimuli generation, multimodal emotional state estimation, and closed-loop stimuli delivery based on the patient’s multimodal response are presented. Audio-visual stimuli consist of static pictures, sounds, real-life video clips and synthetic VR scenes, while multimodal responses of the patient are represented in the form of an augmented mental state vector, which includes affective, cognitive, physiological, motor/behavioral and neural subvectors. Personalization of patient’s stimuli is based on initial information gathering, as well as on continuous acquiring of the patient’s multimodal responses during the sequence of therapeutic sessions. This personalization can be additionally extended by collaboration between the therapist and the expert system. Personalized estimation of the patient’s emotional state is based on appropriate artificial neural network algorithms, which integrate various features of the patient’s multimodal response, like autonomic physiology, voice, and facial expressions. The proposed approach is in line with personalized psychiatry, with potential to significantly improve psychological and biological state of the patient in the larger framework of Psychiatry for the Person.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Kliničke medicinske znanosti



POVEZANOST RADA


Projekt / tema
036-0000000-2029 - Adaptivno upravljanje scenarijima u VR terapiji PTSP-a (Krešimir Ćosić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb