Research Article
A mobile biosensor to detect cardiorespiratory activity for stress tracking
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2013.252357, author={Nicola Carbonaro and Pietro Cipresso and Alessandro Tognetti and Gaetano Anania and Danilo De Rossi and Andrea Gaggioli and Giuseppe Riva}, title={A mobile biosensor to detect cardiorespiratory activity for stress tracking}, proceedings={3rd International Workshop on Pervasive Computing Paradigms for Mental Health}, publisher={IEEE}, proceedings_a={MINDCARE}, year={2013}, month={5}, keywords={stress psychophysiology mobile biosensor electrocardiogram respiration signal bio-behavioral methods}, doi={10.4108/icst.pervasivehealth.2013.252357} }- Nicola Carbonaro
Pietro Cipresso
Alessandro Tognetti
Gaetano Anania
Danilo De Rossi
Andrea Gaggioli
Giuseppe Riva
Year: 2013
A mobile biosensor to detect cardiorespiratory activity for stress tracking
MINDCARE
IEEE
DOI: 10.4108/icst.pervasivehealth.2013.252357
Abstract
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.
