• DocumentCode
    2299217
  • Title

    FPGA implementation of fast FIR low pass filter for EMG removal from ECG signal

  • Author

    Chand, Rakesh ; Tripathi, Pawan ; Mathur, Abhishek ; Ray, K.C.

  • Author_Institution
    Indian Inst. of Inf. Technol., Allahabad, India
  • fYear
    2010
  • fDate
    Nov. 29 2010-Dec. 1 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the hardware implementation of fast FIR low pass filter for Electromyogram (EMG) removal from Electrocardiogram (ECG) signal. We designed the architecture having less critical delay then convention FIR design and fast enough to remove EMG from ECG signal. We Proposed branched tree architecture for adder connection to reduce the critical delay. The Proposed architecture has been implemented on FPGA using Verilog Hardware Description Language (HDL). Since coefficient quantization technique is used, so this implementation consumes lesser area that reduces the Hardware consumption. We have used target device Virtex-5 (“xc5vlx110t-2-ff1136”), which is a preferred device in the field for modern Digital Signal Processing (DSP) applications.
  • Keywords
    FIR filters; electrocardiography; electromyography; field programmable gate arrays; hardware description languages; medical signal processing; tree data structures; ECG signal; EMG removal; FPGA; Verilog hardware description language; branched tree architecture; coefficient quantization technique; critical delay; digital signal processing; electrocardiogram; electromyogram; fast FIR low pass filter; Adders; Band pass filters; Electrocardiography; Finite impulse response filter; Hardware; Maximum likelihood detection; Electrocardiogram; Electromyogram; Finite Impulse Response; Full Scale Deflection; Hardware Description Language; Linear Time-Invariant (LTI) filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power, Control and Embedded Systems (ICPCES), 2010 International Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4244-8543-7
  • Type

    conf

  • DOI
    10.1109/ICPCES.2010.5698652
  • Filename
    5698652