• DocumentCode
    184776
  • Title

    552 nW per channel 79 nV/rtHz ECG acquisition front-end with multi-frequency chopping

  • Author

    Khatavkar, Prathamesh ; Aniruddhan, Sankaran

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    624
  • Lastpage
    627
  • Abstract
    An ultra low power low noise analog front-end for ECG signal acquisition is demonstrated. Key to its performance is a multi-frequency chopping technique that helps to significantly reduce power consumption by frequency-division multiplexing of two channels in a single low noise instrumentation amplifier. A complete two-channel analog front-end, chopped at frequencies of 4 kHz and 8 kHz, is implemented in a 0.18 μm CMOS technology from UMC. A current reuse technique is employed in the first stage of the instrumentation amplifier to further improve efficiency. Simulation results show that the front-end achieves an input-referred noise voltage density of 79 nV/√Hz while consuming a current of 460 nA per channel from a 1.2 V power supply. The 1/f noise corner of the system is around 10 Hz and the CMRR of 138 dB.
  • Keywords
    CMOS integrated circuits; electrocardiography; instrumentation amplifiers; medical signal detection; medical signal processing; CMOS technology; CMRR; ECG acquisition front-end; ECG signal acquisition; UMC; current reuse technique; frequency-division multiplexing; input-referred noise voltage density; multifrequency chopping technique; power 552 nW; power consumption; single low noise instrumentation amplifier; two-channel analog front-end; ultralow power low noise analog front-end; Bandwidth; Choppers (circuits); Electrocardiography; Electrodes; Gain; Instruments; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/BioCAS.2014.6981803
  • Filename
    6981803