Wireless Mobile Communication and Healthcare. 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings

Research Article

Application of Wearable Monitoring System in Tourette Syndrome Assessment

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  • @INPROCEEDINGS{10.1007/978-3-319-58877-3_13,
        author={Sofia Scataglini and Marcello Fusca and Giuseppe Andreoni and Mauro Porta},
        title={Application of Wearable Monitoring System in Tourette Syndrome Assessment},
        proceedings={Wireless Mobile Communication and Healthcare. 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2017},
        month={6},
        keywords={Wearable monitoring Tourette Syndrome Tics Video monitoring Automatic tic detection},
        doi={10.1007/978-3-319-58877-3_13}
    }
    
  • Sofia Scataglini
    Marcello Fusca
    Giuseppe Andreoni
    Mauro Porta
    Year: 2017
    Application of Wearable Monitoring System in Tourette Syndrome Assessment
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-319-58877-3_13
Sofia Scataglini1,*, Marcello Fusca1, Giuseppe Andreoni1,*, Mauro Porta2
  • 1: Politecnico di Milano
  • 2: Tourette Centre, IRCCS “Galeazzi”
*Contact email: sofia.scataglini@polimi.it, giuseppe.andreoni@polimi.it

Abstract

This study presents the application of a wearable monitoring system for the assessment of tic events in subjects affected by Tourette Syndrome (TS). A multifactorial analysis and validation of the proposed system is carried out collecting simultaneous and synchronized recordings of data from the wearable actigraph and from two video cameras that allowed two medical doctors with different expertise to classify the motor events as tics and their related severity scale. A dedicated software implements the algorithm for automatic tic detection and to compare this assessment with the standard video recording protocol used to discriminate and classify tic events of high intensity and tic event of low intensity (facial grimacing or vocal tics). Double blind analysis on a nine subjects allowed us to compare the variability between operators and wearable device, and conclude the system has good potential but algorithms refinement is still needed before its possible application in clinical practice. Currently it still requires the integration with a video analysis protocol if the tics are mild or are vowels giving a complete clinical frame.