TY - JOUR T1 - Neuro-fuzzy physiological computing to assess stress levels in virtual reality therapy JF - INTERACTING WITH COMPUTERS Y1 - 2015 A1 - Tartarisco, G. A1 - N. Carbonaro A1 - A. Tonacci A1 - G. M. Bernava A1 - A. Arnao A1 - G. Crifaci A1 - P. Cipresso A1 - G. Riva A1 - A. Gaggioli A1 - D. De Rossi A1 - A. Tognetti A1 - G. Pioggia KW - Bioengineering VL - 27 UR - http://dx.medra.org/10.1093/iwc/iwv010 ER - TY - JOUR T1 - A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure Y1 - 2014 A1 - A. Gaggioli A1 - P. Cipresso A1 - Serino, S. A1 - G. Pioggia A1 - Tartarisco, G. A1 - Baldus, G. A1 - Corda, D. A1 - M. Ferro A1 - N. Carbonaro A1 - A. Tognetti A1 - D. De Rossi A1 - Giakoumis, D. A1 - Tzovaras, D. A1 - Riera, A. A1 - G. Riva AB -

Virtual Reality (VR) is increasingly being used in combination with psycho-physiological measures to improve assessment of distress in mental health research and therapy. However, the analysis and interpretation of multiple physiological measures is time consuming and requires specific skills, which are not available to most clinicians. To address this issue, we designed and developed a Decision Support System (DSS) for automatic classification of stress levels during exposure to VR environments. The DSS integrates different biosensor data (ECG, breathing rate, EEG) and behavioral data (body gestures correlated with stress), following a training process in which self-rated and clinical-rated stress levels are used as ground truth. Detected stress events for each VR session are reported to the therapist as an aggregated value (ranging from 0 to 1) and graphically displayed on a diagram accessible by the therapist through a web-based interface.

ER - TY - CONF T1 - A Mobile Biosensor to detect Cardiorespiratory Activity for Stress Tracking T2 - IEEE 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) Y1 - 2013 A1 - N. Carbonaro A1 - A. Tognetti A1 - G. Anania A1 - D. De Rossi A1 - P. Cipresso A1 - A. Gaggioli A1 - G. Riva KW - Bioengineering AB -

Stress is an increasingly recognized phenomenon that has negative effects on growing numbers of people. Stress assessment is a complex issue, but different studies have shown that monitoring user psychophysiological parameter during daily life can be greatly helpful in stress evaluation. In this study a wearable biosensor platform able to collect physiological and behavioral parameters is reported. The developed wearable platform, in terms of hardware and processing algorithms, is described. Moreover the use of this wearable biosensor platform in combination with advanced simulation technologies, such as virtual reality offer interesting opportunities for innovative personal health-care solutions to stress. A recently founded European project, "INTERSTRESS - Interreality in the management and treatment of stress-related disorders," will take into account these relevant aspects.

JF - IEEE 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) CY - Venice, Italy ER -