A mobile biosensor to detect cardiorespiratory activity for stress tracking

  • Authors:
  • Nicola Carbonaro;Alessandro Tognetti;Gaetano Anania;Danilo De Rossi;Pietro Cipresso;Andrea Gaggioli;Giuseppe Riva

  • Affiliations:
  • University of Pisa;University of Pisa;University of Pisa;University of Pisa;Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy;Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy;Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy

  • Venue:
  • Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
  • Year:
  • 2013

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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.