• DocumentCode
    657158
  • Title

    Myoelectric control method for controllable electrolarynx

  • Author

    Ooe, Katsutoshi ; Kishimoto, R. ; Hasimoto, Yuya

  • Author_Institution
    Dept. of Mech. Syst. Eng., Daiichi Inst. of Technol., Kirishima, Japan
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We researched about the excellent speech production substitutes for speech handicapped patients so far. In this research theme, we developed the controllable artificial larynx with neck myoelectric control. In our previous research, it was clarified that the myoelectric signal measured from sternohyoideus was better for control signal of the electrolarynx. This report is described about optimization of the control methods for controllable electrolarynx. In this report, it was described that the processed myoelectric signal could use as the on/off control signal of electrolarynx. In addition, it was clarified that there was a quadratic relationship function between RMS value of myoelectric signal and pitch frequency of vocalized sound. Using of this function, the controllability of electrolarynx was increased in the viewpoint of number of errors. And, the optimization of control parameter was described.
  • Keywords
    biomedical equipment; controllability; electromyography; medical control systems; medical signal processing; on-off control; optimisation; speech; RMS value; controllable artificial larynx; controllable electrolarynx; myoelectric control method; myoelectric signal measurement; myoelectric signal processing; on-off control signal; optimization; quadratic relationship function; speech handicapped patients; speech production; sternohyoideus; vocalized sound; Delay effects; Electromyography; Frequency control; Larynx; Muscles; Neck; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2013 IEEE
  • Conference_Location
    Baltimore, MD
  • ISSN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2013.6688444
  • Filename
    6688444