A mobile biosensor to detect cardiorespiratory activity for stress tracking

Nicola Carbonaro, Alessandro Tognetti, Gaetano Anania, Danilo De Rossi, Pietro Cipresso, Andrea Gaggioli, Giuseppe Riva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013
Pages440-445
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013 - Venice, Italy
Duration: May 5 2013May 8 2013

Other

Other2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013
CountryItaly
CityVenice
Period5/5/135/8/13

Keywords

  • Bio-behavioral Methods
  • Electrocardiogram
  • Mobile biosensor
  • Psychophysiology
  • Respiration signal
  • Stress

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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  • Cite this

    Carbonaro, N., Tognetti, A., Anania, G., De Rossi, D., Cipresso, P., Gaggioli, A., & Riva, G. (2013). A mobile biosensor to detect cardiorespiratory activity for stress tracking. In Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013 (pp. 440-445). [6563986] https://doi.org/10.4108/icst.pervasivehealth.2013.252357