• DocumentCode
    2235533
  • Title

    Approach towards the characteristic interpretation of Electromyography (EMG) signal with clinical study

  • Author

    Neogi, Biswarup ; Ghosal, Soumya ; Ghosh, Arijit ; Darbar, Rajkumar ; Ganguly, Soham ; Brahma, Bibek

  • Author_Institution
    ECE Dept., DIATM, Durgapur, India
  • fYear
    2011
  • fDate
    22-24 Sept. 2011
  • Firstpage
    788
  • Lastpage
    791
  • Abstract
    This paper is based on the glimpse of the clinical studies and its applications for starting different characteristic interpretation of Electromyography (EMG) signal. The paper presents the biological and the clinical properties of different human muscles and their movements. Strong and precise information about both active and inactive conditions of the skeletal muscles i.e propius muscle, biceps muscle, triceps muscle, deltoid muscle, etc. are shown in a tabular format. In real world, the elimination of anomaly of noisy EMG signal and its proper implementation is very difficult work. An attempt is taken on accomplishing an efficient and discretized knowledge based database of EMG interpretation and by the help of this database we just took a footstep to generate an actuator for the EMG interpretation to facilitate the modeling of dexterous prosthetic arm.
  • Keywords
    artificial limbs; dexterous manipulators; electromyography; medical signal processing; EMG signal characteristic interpretation; biceps muscle; biological properties; clinical properties; deltoid muscle; dexterous prosthetic arm; electromyography signal; human muscles; propius muscle; skeletal muscles; triceps muscle; Brain modeling; Databases; Electromyography; Electronic mail; Humans; Muscles; Prosthetics; EMG; clinical study; dexterous arm; prosthetic arm; skeletal muscles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
  • Conference_Location
    Trivandrum
  • Print_ISBN
    978-1-4244-9478-1
  • Type

    conf

  • DOI
    10.1109/RAICS.2011.6069417
  • Filename
    6069417