2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Validation of a Wireless Portable Biofeedback System for Balance Control: Preliminary Results

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2532,
    author={Laura Rocchi and Marco Benocci and Elisabetta Farella and Luca Benini and Lorenzo Chiari},
    title={Validation of a Wireless Portable Biofeedback System for Balance Control: Preliminary Results},
    proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
    publisher={IEEE},
    proceedings_a={PERVASIVEHEALTH},
    year={2008},
    month={7},
    keywords={Biological control systems Body sensor networks Computational modeling Computer architecture Computer networks Control system synthesis Control systems Hardware Motor drives Personal digital assistants},
    doi={10.4108/ICST.PERVASIVEHEALTH2008.2532}
}
  • Laura Rocchi
    Marco Benocci
    Elisabetta Farella
    Luca Benini
    Lorenzo Chiari
    Year: 2008
    Validation of a Wireless Portable Biofeedback System for Balance Control: Preliminary Results
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2532
Laura Rocchi1,*, Marco Benocci1,*, Elisabetta Farella1,*, Luca Benini1,*, Lorenzo Chiari1,*
  • 1: Department of Electronics, Computer Science and Systems, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.
*Contact email: l.rocchi@unibo.it, marco.benocci@unibo.it, elisabetta.farella@unibo.it, luca.benini@unibo.it, lorenzo.chiari@unibo.it

Abstract

The present study describes the results regarding the preliminary validation of a system for rehabilitation of balance control that integrates the most recent technology advances with the latest findings about motor control and rehabilitation-engineering. The biofeedback system is based on a palmtop computer and a body sensor network, with a modular architecture, both hardware and software. Validation was performed on young healthy subjects, simulating impairment to the balance control system at the proprioception level. Promising results were obtained by means of the biofeedback system, both in terms of adequacy and usability of the system, and in terms of improvement of the balance performance.

Keywords
Biological control systems Body sensor networks Computational modeling Computer architecture Computer networks Control system synthesis Control systems Hardware Motor drives Personal digital assistants
Published
2008-07-22
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2008.2532
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