• DocumentCode
    1567719
  • Title

    Intelligent rehabilitation training system based on multi-parameter status monitoring

  • Author

    Liang, Wei ; Wei, Hongfei ; Zhou, Feng

  • Author_Institution
    Sch. of Electr. & Inf., Zhengzhou Inst. of Light Ind., Zhengzhou, China
  • fYear
    2009
  • Abstract
    A rehabilitation training system based on multi-parameters status monitoring and information fusion is discussed in this paper. The signal processing system is built with MSJP430 series MCU. Soft judgment is carried out based on all kind of information from the force on driving wheel, the speed of driving motor, the stress of patient´s sit gesture from sensor array. Specific observation domain is divided into irrelevant sub-ranges firstly, and then to make information fusion according to Bayes principle, hence to get the judgment results of rehabilitation training status and user´s desire. Finally the driving decision is obtained which has much higher judgment accuracy and better training effects.
  • Keywords
    Bayes methods; decision making; medical signal processing; patient monitoring; patient rehabilitation; sensor fusion; training; Bayes principle; MCU; MSJP430 series; driving decision making; driving motor; information fusion; intelligent rehabilitation training system; multiparameter status monitoring; sensor array; signal processing system; soft judgment; Electric variables measurement; Industrial training; Instruments; Intelligent systems; Monitoring; Semiconductor device measurement; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Velocity measurement; driving decision-making; rehabilitation training; soft judgment; status monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274801
  • Filename
    5274801