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Virtual Reality Enhanced Biofeedback: Preliminary Results of a Short Protocol

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Pervasive Computing Paradigms for Mental Health (MindCare 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 604))

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Abstract

Technology allows innovative ways to perform biofeedback: virtual reality is a promising tool to improve the sense of involvement in the activity reducing the gap between the subject and the kind of feedback given. In this manuscript we report the efficacy of 4-session short protocol of virtual reality enhanced biofeedback with patients suffering from physical symptoms related to clinical conditions marked out by high arousal, i.e. anxiety disorders and hypertension. Preliminary results suggest that biofeedback reduces both state anxiety and anxiety sensitivity. Future research should compare the short protocol with other biofeedback intervention, both virtual and traditional ones.

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Author information

Authors and Affiliations

  1. Centro Medico Santagostino, Piazza Sant’Agostino 1, 20100, Milan, Italy

    Luca Morganti & Michele Cucchi

Authors
  1. Luca Morganti
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  2. Michele Cucchi
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Corresponding author

Correspondence to Luca Morganti .

Editor information

Editors and Affiliations

  1. Istituto Auxologico Italiano, Milano, Italy

    Silvia Serino

  2. Telefonica I+D, Barcelona, Spain

    Aleksandar Matic

  3. The Centre for Research and Technology, Thessalomiki/Thermi, Greece

    Dimitris Giakoumis

  4. Aoyama Gakuin University, Tokyo, Japan

    Guillaume Lopez

  5. Istituto Auxologico Italiano, Milano, Italy

    Pietro Cipresso

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Morganti, L., Cucchi, M. (2016). Virtual Reality Enhanced Biofeedback: Preliminary Results of a Short Protocol. In: Serino, S., Matic, A., Giakoumis, D., Lopez, G., Cipresso, P. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2015. Communications in Computer and Information Science, vol 604. Springer, Cham. https://doi.org/10.1007/978-3-319-32270-4_12

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  • DOI: https://doi.org/10.1007/978-3-319-32270-4_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32269-8

  • Online ISBN: 978-3-319-32270-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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