• DocumentCode
    187203
  • Title

    Multichannel EMG acquisition system for arm and forearm signal detection

  • Author

    Ruvalcaba, A. ; Altamirano, A. ; Toledo, C.F.M. ; Munoz, Raul ; Vera, Alonzo ; Leija, L.

  • Author_Institution
    Dept. de Ing. Electr., IPN, Mexico City, Mexico
  • fYear
    2014
  • fDate
    12-15 May 2014
  • Firstpage
    1075
  • Lastpage
    1078
  • Abstract
    The aim of this article is to design a multichannel electromyographic (EMG) signal acquisition system, using the fewest electronic components to avoid noise as much as possible. This is accomplished by means of an electrodes array for differential acquisition and two references to reduce array´s area and noise. It consists of a 16-channel acquisition system connected through a microcontroller USB interface for storage. Each single acquisition channel consists of a buffer, a pre-amplifier and filters; providing a low cost acquisition stage as well as a low noise system and retaining all the information that can be found at a frequency of 50 Hz, due to non-use of a notch filter. Making it possible to measure specific movements of the arm and forearm at the same time.
  • Keywords
    biomedical electrodes; buffer circuits; electromyography; medical signal detection; notch filters; preamplifiers; 16-channel acquisition system; buffer; differential acquisition; electrodes array; electromyographic signal acquisition system; forearm signal detection; frequency 50 Hz; low noise system; microcontroller USB interface; multichannel EMG acquisition system; notch filter; preamplifier; single acquisition channel; Arrays; Electrodes; Electromyography; Microcontrollers; Muscles; Noise; Voltage measurement; EMG; electrodes array; multichannel; signal acquisition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International
  • Conference_Location
    Montevideo
  • Type

    conf

  • DOI
    10.1109/I2MTC.2014.6860907
  • Filename
    6860907