• DocumentCode
    140206
  • Title

    iBEST: Intelligent balance assessment and stability training system using smartphone

  • Author

    Aung Aung Phyo Wai ; Pham Duy Duc ; Chan Syin ; Zhang Haihong

  • Author_Institution
    Neural & Biomed. Technol. Dept., A*STAR, Singapore, Singapore
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    3683
  • Lastpage
    3686
  • Abstract
    Patients with postural instability could lead to falls and injuries while walking due to balance disorders. So those patients need regular balance training and evaluation to improve and examine balance deficiencies. But many do not notice such balance issues; resulting lack of timely preventive measures. This shows the needs of affordable and accessible solution for balance training and assessment. So iBEST (intelligent Balance assessment and Stability Training) is proposed enabling to train and assess balance conveniently anywhere anytime. Moreover, therapists can remotely evaluate and manage their recovery progress. These benefits can be realized leveraging sensors from smartphone, cloud-based data analytics and web applications. iBEST employs sensorised automated balance assessment in digitizing Berg Balance Scale (BBS) clinical risk assessment tool. The initial feasibility study showed average accuracy of 90.22% using smartphone in classifying the specified BBS test items.
  • Keywords
    cloud computing; medical computing; mobile computing; patient monitoring; smart phones; Berg balance scale clinical risk assessment tool; balance disorders; cloud-based data analytics; iBEST; intelligent balance assessment and stability training; postural instability; recovery progress; remote evaluation; smart phone; web applications; Accuracy; Mobile communication; Senior citizens; Sensors; Stability analysis; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944422
  • Filename
    6944422