• DocumentCode
    651471
  • Title

    An EMG readout front-end with automatic gain controller for human-computer interface

  • Author

    Hyeon-Cheon Seol ; Young-Cheon Kwon ; Seong-Kwan Hong ; Oh-Kyong Kwon

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    Oct. 31 2013-Nov. 2 2013
  • Firstpage
    170
  • Lastpage
    173
  • Abstract
    We propose an electromyogram (EMG) readout front-end with an automatic gain controller (AGC) for a human-computer interface (HCI). The proposed AGC adaptively controls voltage gain depending on the amplitude of the extracted EMG signal, which is varied according to the number of muscle fibers and the surface condition of the skin. Furthermore, the AGC alleviates the resolution requirement of an analog-digital converter (ADC) by fitting the maximum amplitude of the EMG signal to the full input range of the ADC. In order to obtain the wide-gain range, two variable gain amplifiers (VGAs) are used in the AGC. The voltage gain of the AGC is adjusted from 0 to 48.2 dB. A digital gain controller is employed to reduce the power consumption of the AGC. The calculated power efficiency of the AGC is 6.51 dB/μW. The proposed readout front-end is fabricated by using a 0.18 μm CMOS process technology and dissipates 19 μW at the supply voltage of 1.5 V.
  • Keywords
    CMOS integrated circuits; adaptive control; amplifiers; analogue-digital conversion; automatic gain control; biomedical electronics; electromyography; human computer interaction; medical control systems; medical signal processing; natural fibres; power consumption; readout electronics; skin; 0.18 μm CMOS process technology; ADC full input range; ADC resolution requirement; AGC power consumption reduction; AGC voltage gain adjustment; EMG readout front-end; EMG signal amplitude dependence; EMG signal maximum amplitude fitting; adaptive voltage gain control; analog-digital converter; automatic gain controller; digital gain controller; electromyogram readout front-end; gain 0 dB to 48.2 dB; human computer interface; muscle fiber; power 19 muW; power efficiency calculation; readout front-end fabrication; size 0.18 mum; skin surface condition; variable gain amplifier; voltage 1.5 V; wide-gain range; Automatic generation control; Capacitors; Electromyography; Envelope detectors; Gain; Gain control; Human computer interaction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
  • Conference_Location
    Rotterdam
  • Type

    conf

  • DOI
    10.1109/BioCAS.2013.6679666
  • Filename
    6679666